feat: add ollama support (#536)

feat(telemetry): Implement AI usage telemetry pattern and apply to ad…

.changeset/beige-doodles-type.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': patch
+---
+
+Resolve all issues related to MCP

.changeset/beige-rats-accept.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-- Add support for Google Gemini models via Vercel AI SDK integration.

.changeset/blue-spies-kick.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Add xAI provider and Grok models support

.changeset/cuddly-zebras-matter.md

@@ -1,8 +0,0 @@
----
-'task-master-ai': minor
----
-
-feat(expand): Enhance `expand` and `expand-all` commands
-
-- Integrate `task-complexity-report.json` to automatically determine the number of subtasks and use tailored prompts for expansion based on prior analysis. You no longer need to try copy-pasting the recommended prompt. If it exists, it will use it for you. You can just run `task-master update --id=[id of task] --research` and it will use that prompt automatically. No extra prompt needed. 
-- Change default behavior to *append* new subtasks to existing ones. Use the `--force` flag to clear existing subtasks before expanding. This is helpful if you need to add more subtasks to a task but you want to do it by the batch from a given prompt. Use force if you want to start fresh with a task's subtasks.

.changeset/easy-toys-wash.md

@@ -1,7 +0,0 @@
----
-'task-master-ai': minor
----
-
-Adds support for the OpenRouter AI provider. Users can now configure models available through OpenRouter (requiring an `OPENROUTER_API_KEY`) via the `task-master models` command, granting access to a wide range of additional LLMs.
-    - IMPORTANT FYI ABOUT OPENROUTER: Taskmaster relies on AI SDK, which itself relies on tool use. It looks like **free** models sometimes do not include tool use. For example, Gemini 2.5 pro (free) failed via OpenRouter (no tool use) but worked fine on the paid version of the model. Custom model support for Open Router is considered experimental and likely will not be further improved for some time.
-

.changeset/fine-signs-add.md

@@ -1,13 +0,0 @@
----
-'task-master-ai': patch
----
-
-Improve and adjust `init` command for robustness and updated dependencies.
-
-- **Update Initialization Dependencies:** Ensure newly initialized projects (`task-master init`) include all required AI SDK dependencies (`@ai-sdk/*`, `ai`, provider wrappers) in their `package.json` for out-of-the-box AI feature compatibility. Remove unnecessary dependencies (e.g., `uuid`) from the init template.
-- **Silence `npm install` during `init`:** Prevent `npm install` output from interfering with non-interactive/MCP initialization by suppressing its stdio in silent mode.
-- **Improve Conditional Model Setup:** Reliably skip interactive `models --setup` during non-interactive `init` runs (e.g., `init -y` or MCP) by checking `isSilentMode()` instead of passing flags.
-- **Refactor `init.js`:** Remove internal `isInteractive` flag logic.
-- **Update `init` Instructions:** Tweak the "Getting Started" text displayed after `init`.
-- **Fix MCP Server Launch:** Update `.cursor/mcp.json` template to use `node ./mcp-server/server.js` instead of `npx task-master-mcp`.
-- **Update Default Model:** Change the default main model in the `.taskmasterconfig` template.

.changeset/floppy-plants-marry.md

@@ -0,0 +1,9 @@
+---
+'task-master-ai': patch
+---
+
+Fix CLI --force flag for parse-prd command
+
+Previously, the --force flag was not respected when running `parse-prd`, causing the command to prompt for confirmation or fail even when --force was provided. This patch ensures that the flag is correctly passed and handled, allowing users to overwrite existing tasks.json files as intended.
+
+- Fixes #477

.changeset/forty-plums-stay.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': minor
+---
+
+.taskmasterconfig now supports a baseUrl field per model role (main, research, fallback), allowing endpoint overrides for any provider.

.changeset/free-bikes-smile.md

@@ -0,0 +1,11 @@
+---
+'task-master-ai': minor
+---
+
+Add Ollama as a supported AI provider.
+
+- You can now add it by running `task-master models --setup` and selecting it.
+- Ollama is a local model provider, so no API key is required.
+- Ollama models are available at `http://localhost:11434/api` by default.
+- You can change the default URL by setting the `OLLAMA_BASE_URL` environment variable or by adding a `baseUrl` property to the `ollama` model role in `.taskmasterconfig`.
+  - If you want to use a custom API key, you can set it in the `OLLAMA_API_KEY` environment variable.   

.changeset/gentle-views-jump.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fixes an issue with add-task which did not use the manually defined properties and still needlessly hit the AI endpoint.

.changeset/many-wasps-sell.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': patch
+---
+
+Task Master no longer tells you to update when you're already up to date

.changeset/mighty-mirrors-watch.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': minor
----
-
-Adds model management and new configuration file .taskmasterconfig which houses the models used for main, research and fallback. Adds models command and setter flags. Adds a --setup flag with an interactive setup. We should be calling this during init. Shows a table of active and available models when models is called without flags. Includes SWE scores and token costs, which are manually entered into the supported_models.json, the new place where models are defined for support. Config-manager.js is the core module responsible for managing the new config."

.changeset/neat-donkeys-shave.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fixes an issue that prevented remove-subtask with comma separated tasks/subtasks from being deleted (only the first ID was being deleted). Closes #140

.changeset/nice-lies-cover.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': patch
+---
+
+Adds costs information to AI commands using input/output tokens and model costs.

.changeset/nine-rocks-sink.md

@@ -1,10 +0,0 @@
----
-'task-master-ai': patch
----
-
-Improves next command to be subtask-aware
-    - The logic for determining the "next task" (findNextTask function, used by task-master next and the next_task MCP tool) has been significantly improved. Previously, it only considered top-level tasks, making its recommendation less useful when a parent task containing subtasks was already marked 'in-progress'.
-    - The updated logic now prioritizes finding the next available subtask within any 'in-progress' parent task, considering subtask dependencies and priority. 
-    - If no suitable subtask is found within active parent tasks, it falls back to recommending the next eligible top-level task based on the original criteria (status, dependencies, priority). 
-    
-This change makes the next command much more relevant and helpful during the implementation phase of complex tasks.

.changeset/ninety-ghosts-relax.md

@@ -1,11 +0,0 @@
----
-'task-master-ai': minor
----
-
-Adds custom model ID support for Ollama and OpenRouter providers.
-  - Adds the `--ollama` and `--openrouter` flags to `task-master models --set-<role>` command to set models for those providers outside of the support models list.
-  - Updated `task-master models --setup` interactive mode with options to explicitly enter custom Ollama or OpenRouter model IDs.
-  - Implemented live validation against OpenRouter API (`/api/v1/models`) when setting a custom OpenRouter model ID (via flag or setup).
-  - Refined logic to prioritize explicit provider flags/choices over internal model list lookups in case of ID conflicts.
-  - Added warnings when setting custom/unvalidated models.
-  - We obviously don't recommend going with a custom, unproven model. If you do and find performance is good, please let us know so we can add it to the list of supported models.

.changeset/ninety-wombats-pull.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Add `--status` flag to `show` command to filter displayed subtasks.

.changeset/pre.json

@@ -0,0 +1,23 @@
+{
+  "mode": "exit",
+  "tag": "rc",
+  "initialVersions": {
+    "task-master-ai": "0.13.2"
+  },
+  "changesets": [
+    "beige-doodles-type",
+    "floppy-plants-marry",
+    "forty-plums-stay",
+    "many-wasps-sell",
+    "red-oranges-attend",
+    "red-suns-wash",
+    "sharp-dingos-melt",
+    "six-cloths-happen",
+    "slow-singers-swim",
+    "social-masks-fold",
+    "soft-zoos-flow",
+    "ten-ways-mate",
+    "tricky-wombats-spend",
+    "wide-eyes-relax"
+  ]
+}

.changeset/public-cooks-fetch.md

@@ -1,7 +0,0 @@
----
-'task-master-ai': minor
----
-
-Integrate OpenAI as a new AI provider.
-    - Enhance `models` command/tool to display API key status.
-    - Implement model-specific `maxTokens` override based on `supported-models.json` to save you if you use an incorrect max token value.

.changeset/red-oranges-attend.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': patch
+---
+
+Fix ERR_MODULE_NOT_FOUND when trying to run MCP Server

.changeset/red-suns-wash.md

@@ -2,4 +2,4 @@
 'task-master-ai': patch
 ---
 
-Add integration for Roo Code
+Add src directory to exports

.changeset/sharp-dingos-melt.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': patch
+---
+
+Fix the error handling of task status settings

.changeset/six-cloths-happen.md

@@ -0,0 +1,7 @@
+---
+'task-master-ai': patch
+---
+
+Remove caching layer from MCP direct functions for task listing, next task, and complexity report
+
+- Fixes issues users where having where they were getting stale data

.changeset/slow-singers-swim.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': patch
+---
+
+Fix for issue #409 LOG_LEVEL Pydantic validation error

.changeset/small-toys-fly.md

@@ -0,0 +1,7 @@
+---
+'task-master-ai': patch
+---
+
+Small fixes
+    - `next` command no longer incorrectly suggests that subtasks be broken down into subtasks in the CLI
+    - fixes the `append` flag so it properly works in the CLI

.changeset/social-masks-fold.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': minor
+---
+
+Display task complexity scores in task lists, next task, and task details views.

.changeset/soft-zoos-flow.md

@@ -0,0 +1,7 @@
+---
+'task-master-ai': patch
+---
+
+Fix initial .env.example to work out of the box
+
+- Closes #419

.changeset/ten-ways-mate.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': patch
+---
+
+Fix default fallback model and maxTokens in Taskmaster initialization

.changeset/tricky-papayas-hang.md

@@ -1,9 +0,0 @@
----
-'task-master-ai': minor
----
-Tweaks Perplexity AI calls for research mode to max out input tokens and get day-fresh information
-    - Forces temp at 0.1 for highly deterministic output, no variations
-    - Adds a system prompt to further improve the output
-    - Correctly uses the maximum input tokens (8,719, used 8,700) for perplexity
-    - Specificies to use a high degree of research across the web
-    - Specifies to use information that is as fresh as today; this support stuff like capturing brand new announcements like new GPT models and being able to query for those in research. 🔥

.changeset/tricky-wombats-spend.md

@@ -0,0 +1,5 @@
+---
+'task-master-ai': patch
+---
+
+Fix bug when updating tasks on the MCP server (#412)

.changeset/violet-papayas-see.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fix --task to --num-tasks in ui + related tests - issue #324

.changeset/violet-parrots-march.md

@@ -1,9 +0,0 @@
----
-'task-master-ai': patch
----
-
-Adds a 'models' CLI and MCP command to get the current model configuration, available models, and gives the ability to set main/research/fallback models." 
-    - In the CLI, `task-master models` shows the current models config. Using the `--setup` flag launches an interactive set up that allows you to easily select the models you want to use for each of the three roles. Use `q` during the interactive setup to cancel the setup.
-    - In the MCP, responses are simplified in RESTful format (instead of the full CLI output). The agent can use the `models` tool with different arguments, including `listAvailableModels` to get available models. Run without arguments, it will return the current configuration. Arguments are available to set the model for each of the three roles. This allows you to manage Taskmaster AI providers and models directly from either the CLI or MCP or both.
-    - Updated the CLI help menu when you run `task-master` to include missing commands and .taskmasterconfig information.
-    - Adds `--research` flag to `add-task` so you can hit up Perplexity right from the add-task flow, rather than having to add a task and then update it.

.changeset/wide-eyes-relax.md

@@ -0,0 +1,11 @@
+---
+'task-master-ai': patch
+---
+
+Fix duplicate output on CLI help screen
+
+- Prevent the Task Master CLI from printing the help screen more than once when using `-h` or `--help`.
+- Removed redundant manual event handlers and guards for help output; now only the Commander `.helpInformation` override is used for custom help.
+- Simplified logic so that help is only shown once for both "no arguments" and help flag flows.
+- Ensures a clean, branded help experience with no repeated content.
+- Fixes #339

.cursor/rules/ai_services.mdc

@@ -25,6 +25,7 @@ This document outlines the architecture and usage patterns for interacting with
     *   Implements **retry logic** for specific API errors (`_attemptProviderCallWithRetries`).
     *   Resolves API keys automatically via `_resolveApiKey` (using `resolveEnvVariable`).
     *   Maps requests to the correct provider implementation (in `src/ai-providers/`) via `PROVIDER_FUNCTIONS`.
+    *   Returns a structured object containing the primary AI result (`mainResult`) and telemetry data (`telemetryData`). See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for details on how this telemetry data is propagated and handled.
 
 *   **Provider Implementations (`src/ai-providers/*.js`):**
     *   Contain provider-specific wrappers around Vercel AI SDK functions (`generateText`, `generateObject`).

.cursor/rules/architecture.mdc

@@ -42,6 +42,7 @@ alwaysApply: false
       - Resolves API keys (from `.env` or `session.env`).
       - Implements fallback and retry logic.
       - Orchestrates calls to provider-specific implementations (`src/ai-providers/`).
+    - Telemetry data generated by the AI service layer is propagated upwards through core logic, direct functions, and MCP tools. See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for the detailed integration pattern.
 
   - **[`src/ai-providers/*.js`](mdc:src/ai-providers/): Provider-Specific Implementations**
     - **Purpose**: Provider-specific wrappers for Vercel AI SDK functions.
@@ -65,8 +66,9 @@ alwaysApply: false
   - **[`mcp-server/`](mdc:mcp-server/): MCP Server Integration**
     - **Purpose**: Provides MCP interface using FastMCP.
     - **Responsibilities** (See also: [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc)):
-      - Registers tools (`mcp-server/src/tools/*.js`).
-      - Tool `execute` methods call **direct function wrappers** (`mcp-server/src/core/direct-functions/*.js`).
+      - Registers tools (`mcp-server/src/tools/*.js`). Tool `execute` methods **should be wrapped** with the `withNormalizedProjectRoot` HOF (from `tools/utils.js`) to ensure consistent path handling.
+      - The HOF provides a normalized `args.projectRoot` to the `execute` method.
+      - Tool `execute` methods call **direct function wrappers** (`mcp-server/src/core/direct-functions/*.js`), passing the normalized `projectRoot` and other args.
       - Direct functions use path utilities (`mcp-server/src/core/utils/`) to resolve paths based on `projectRoot` from session.
       - Direct functions implement silent mode, logger wrappers, and call core logic functions from `scripts/modules/`.
       - Manages MCP caching and response formatting.

.cursor/rules/dev_workflow.mdc

@@ -116,7 +116,7 @@ Taskmaster configuration is managed through two main mechanisms:
     *   For MCP/Cursor integration, configure these keys in the `env` section of `.cursor/mcp.json`.
     *   Available keys/variables: See `assets/env.example` or the Configuration section in the command reference (previously linked to `taskmaster.mdc`).
 
-**Important:** Non-API key settings (like model selections, `MAX_TOKENS`, `LOG_LEVEL`) are **no longer configured via environment variables**. Use the `task-master models` command (or `--setup` for interactive configuration) or the `models` MCP tool.
+**Important:** Non-API key settings (like model selections, `MAX_TOKENS`, `TASKMASTER_LOG_LEVEL`) are **no longer configured via environment variables**. Use the `task-master models` command (or `--setup` for interactive configuration) or the `models` MCP tool.
 **If AI commands FAIL in MCP** verify that the API key for the selected provider is present in the `env` section of `.cursor/mcp.json`.
 **If AI commands FAIL in CLI** verify that the API key for the selected provider is present in the `.env` file in the root of the project.
 

.cursor/rules/glossary.mdc

@@ -3,7 +3,6 @@ description: Glossary of other Cursor rules
 globs: **/*
 alwaysApply: true
 ---
-
 # Glossary of Task Master Cursor Rules
 
 This file provides a quick reference to the purpose of each rule file located in the `.cursor/rules` directory.
@@ -23,4 +22,5 @@ This file provides a quick reference to the purpose of each rule file located in
 - **[`tests.mdc`](mdc:.cursor/rules/tests.mdc)**: Guidelines for implementing and maintaining tests for Task Master CLI.
 - **[`ui.mdc`](mdc:.cursor/rules/ui.mdc)**: Guidelines for implementing and maintaining user interface components.
 - **[`utilities.mdc`](mdc:.cursor/rules/utilities.mdc)**: Guidelines for implementing utility functions.
+- **[`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc)**: Guidelines for integrating AI usage telemetry across Task Master.
 

.cursor/rules/mcp.mdc

@@ -188,58 +188,70 @@ execute: async (args, { log, session }) => {
 - **args**: Validated parameters.
 - **context**: Contains `{ log, session }` from FastMCP. (Removed `reportProgress`).
 
-### Standard Tool Execution Pattern
+### Standard Tool Execution Pattern with Path Normalization (Updated)
 
-The `execute` method within each MCP tool (in `mcp-server/src/tools/*.js`) should follow this standard pattern:
+To ensure consistent handling of project paths across different client environments (Windows, macOS, Linux, WSL) and input formats (e.g., `file:///...`, URI encoded paths), all MCP tool `execute` methods that require access to the project root **MUST** be wrapped with the `withNormalizedProjectRoot` Higher-Order Function (HOF).
 
-1.  **Log Entry**: Log the start of the tool execution with relevant arguments.
-2.  **Get Project Root**: Use the `getProjectRootFromSession(session, log)` utility (from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js)) to extract the project root path from the client session. Fall back to `args.projectRoot` if the session doesn't provide a root.
-3.  **Call Direct Function**: Invoke the corresponding `*Direct` function wrapper (e.g., `listTasksDirect` from [`task-master-core.js`](mdc:mcp-server/src/core/task-master-core.js)), passing an updated `args` object that includes the resolved `projectRoot`. Crucially, the third argument (context) passed to the direct function should **only include `{ log, session }`**. **Do NOT pass `reportProgress`**.
-    ```javascript
-    // Example call (applies to both AI and non-AI direct functions now)
-    const result = await someDirectFunction(
-        { ...args, projectRoot }, // Args including resolved root
-        log,                   // MCP logger
-        { session }            // Context containing session
-    ); 
-    ```
-4.  **Handle Result**: Receive the result object (`{ success, data/error, fromCache }`) from the `*Direct` function.
-5.  **Format Response**: Pass this result object to the `handleApiResult` utility (from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js)) for standardized MCP response formatting and error handling.
-6.  **Return**: Return the formatted response object provided by `handleApiResult`.
+This HOF, defined in [`mcp-server/src/tools/utils.js`](mdc:mcp-server/src/tools/utils.js), performs the following before calling the tool's core logic:
+
+1.  **Determines the Raw Root:** It prioritizes `args.projectRoot` if provided by the client, otherwise it calls `getRawProjectRootFromSession` to extract the path from the session.
+2.  **Normalizes the Path:** It uses the `normalizeProjectRoot` helper to decode URIs, strip `file://` prefixes, fix potential Windows drive letter prefixes (e.g., `/C:/`), convert backslashes (`\`) to forward slashes (`/`), and resolve the path to an absolute path suitable for the server's OS.
+3.  **Injects Normalized Path:** It updates the `args` object by replacing the original `projectRoot` (or adding it) with the normalized, absolute path.
+4.  **Executes Original Logic:** It calls the original `execute` function body, passing the updated `args` object.
+
+**Implementation Example:**
 
 ```javascript
-// Example execute method structure for a tool calling an AI-based direct function
-import { getProjectRootFromSession, handleApiResult, createErrorResponse } from './utils.js';
-import { someAIDirectFunction } from '../core/task-master-core.js';
+// In mcp-server/src/tools/your-tool.js
+import {
+    handleApiResult,
+    createErrorResponse,
+    withNormalizedProjectRoot // <<< Import HOF
+} from './utils.js';
+import { yourDirectFunction } from '../core/task-master-core.js';
+import { findTasksJsonPath } from '../core/utils/path-utils.js'; // If needed
 
-// ... inside server.addTool({...})
-execute: async (args, { log, session }) => { // Note: reportProgress is omitted here
-  try {
-    log.info(`Starting AI tool execution with args: ${JSON.stringify(args)}`);
+export function registerYourTool(server) {
+    server.addTool({
+        name: "your_tool",
+        description: "...".
+        parameters: z.object({
+            // ... other parameters ...
+            projectRoot: z.string().optional().describe('...') // projectRoot is optional here, HOF handles fallback
+        }),
+        // Wrap the entire execute function
+        execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+            // args.projectRoot is now guaranteed to be normalized and absolute
+            const { /* other args */, projectRoot } = args;
 
-    // 1. Get Project Root
-    let rootFolder = getProjectRootFromSession(session, log);
-    if (!rootFolder && args.projectRoot) { // Fallback if needed
-      rootFolder = args.projectRoot;
-      log.info(`Using project root from args as fallback: ${rootFolder}`);
-    }
+            try {
+                log.info(`Executing your_tool with normalized root: ${projectRoot}`);
 
-    // 2. Call AI-Based Direct Function (passing only log and session in context)
-    const result = await someAIDirectFunction({
-      ...args,
-      projectRoot: rootFolder // Ensure projectRoot is explicitly passed
-    }, log, { session }); // Pass session here, NO reportProgress
+                // Resolve paths using the normalized projectRoot
+                let tasksPath = findTasksJsonPath({ projectRoot, file: args.file }, log);
 
-    // 3. Handle and Format Response
-    return handleApiResult(result, log);
+                // Call direct function, passing normalized projectRoot if needed by direct func
+                const result = await yourDirectFunction(
+                    {
+                        /* other args */,
+                        projectRoot // Pass it if direct function needs it
+                    },
+                    log,
+                    { session }
+                );
 
-  } catch (error) {
-    log.error(`Error during AI tool execution: ${error.message}`);
-    return createErrorResponse(error.message);
-  }
+                return handleApiResult(result, log);
+            } catch (error) {
+                log.error(`Error in your_tool: ${error.message}`);
+                return createErrorResponse(error.message);
+            }
+        }) // End HOF wrap
+    });
 }
 ```
 
+By using this HOF, the core logic within the `execute` method and any downstream functions (like `findTasksJsonPath` or direct functions) can reliably expect `args.projectRoot` to be a clean, absolute path suitable for the server environment.
+
 ### Project Initialization Tool
 
 The `initialize_project` tool allows integrated clients like Cursor to set up a new Task Master project:
@@ -510,3 +522,8 @@ Follow these steps to add MCP support for an existing Task Master command (see [
       // Add more functions as implemented
     };
     ```
+
+## Telemetry Integration
+
+- Direct functions calling core logic that involves AI should receive and pass through `telemetryData` within their successful `data` payload. See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for the standard pattern.
+- MCP tools use `handleApiResult`, which ensures the `data` object (potentially including `telemetryData`) from the direct function is correctly included in the final response.

.cursor/rules/new_features.mdc

@@ -3,7 +3,6 @@ description: Guidelines for integrating new features into the Task Master CLI
 globs: scripts/modules/*.js
 alwaysApply: false
 ---
-
 # Task Master Feature Integration Guidelines
 
 ## Feature Placement Decision Process
@@ -196,6 +195,8 @@ The standard pattern for adding a feature follows this workflow:
   - ✅ **DO**: If an MCP tool fails with vague errors (e.g., JSON parsing issues like `Unexpected token ... is not valid JSON`), **try running the equivalent CLI command directly in the terminal** (e.g., `task-master expand --all`). CLI output often provides much more specific error messages (like missing function definitions or stack traces from the core logic) that pinpoint the root cause.
   - ❌ **DON'T**: Rely solely on MCP logs if the error is unclear; use the CLI as a complementary debugging tool for core logic issues.
 
+- **Telemetry Integration**: Ensure AI calls correctly handle and propagate `telemetryData` as described in [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc).
+
 ```javascript
 // 1. CORE LOGIC: Add function to appropriate module (example in task-manager.js)
 /**
@@ -523,14 +524,24 @@ Integrating Task Master commands with the MCP server (for use by tools like Curs
 
 4.  **Create MCP Tool (`mcp-server/src/tools/`)**:
     - Create a new file (e.g., `your-command.js`) using **kebab-case**.
-    - Import `zod`, `handleApiResult`, `createErrorResponse`, **`getProjectRootFromSession`**, and your `yourCommandDirect` function.
+    - Import `zod`, `handleApiResult`, **`withNormalizedProjectRoot` HOF**, and your `yourCommandDirect` function.
     - Implement `registerYourCommandTool(server)`.
-    - Define the tool `name` using **snake_case** (e.g., `your_command`).
-    - Define the `parameters` using `zod`. **Crucially, define `projectRoot` as optional**: `projectRoot: z.string().optional().describe(...)`. Include `file` if applicable.
-    - Implement the standard `async execute(args, { log, reportProgress, session })` method:
-      - Get `rootFolder` using `getProjectRootFromSession` (with fallback to `args.projectRoot`).
-      - Call `yourCommandDirect({ ...args, projectRoot: rootFolder }, log)`. 
-      - Pass the result to `handleApiResult(result, log, 'Error Message')`.
+    - **Define parameters**: Make `projectRoot` optional (`z.string().optional().describe(...)`) as the HOF handles fallback.
+    - Consider if this operation should run in the background using `AsyncOperationManager`.
+    - Implement the standard `execute` method **wrapped with `withNormalizedProjectRoot`**:
+      ```javascript
+      execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+          // args.projectRoot is now normalized
+          const { projectRoot /*, other args */ } = args;
+          // ... resolve tasks path if needed using normalized projectRoot ...
+          const result = await yourCommandDirect(
+              { /* other args */, projectRoot /* if needed by direct func */ }, 
+              log, 
+              { session }
+          );
+          return handleApiResult(result, log);
+      })
+      ```
 
 5.  **Register Tool**: Import and call `registerYourCommandTool` in `mcp-server/src/tools/index.js`.
 
@@ -618,8 +629,3 @@ When implementing project initialization commands:
      });
    }
    ```
-
-       }
-     });
-   }
-   ```

.cursor/rules/taskmaster.mdc

@@ -79,6 +79,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **Usage (CLI):** Run without flags to view current configuration and available models. Use set flags to update specific roles. Use `--setup` for guided configuration, including custom models. To set a custom model via flags, use `--set-<role>=<model_id>` along with either `--ollama` or `--openrouter`.
 *   **Notes:** Configuration is stored in `.taskmasterconfig` in the project root. This command/tool modifies that file. Use `listAvailableModels` or `task-master models` to see internally supported models. OpenRouter custom models are validated against their live API. Ollama custom models are not validated live.
 *   **API note:** API keys for selected AI providers (based on their model) need to exist in the mcp.json file to be accessible in MCP context. The API keys must be present in the local .env file for the CLI to be able to read them.
+*   **Model costs:** The costs in supported models are expressed in dollars. An input/output value of 3 is $3.00. A value of 0.8 is $0.80. 
 *   **Warning:** DO NOT MANUALLY EDIT THE .taskmasterconfig FILE. Use the included commands either in the MCP or CLI format as needed. Always prioritize MCP tools when available and use the CLI as a fallback.
 
 ---

.cursor/rules/telemetry.mdc

@@ -0,0 +1,228 @@
+---
+description: Guidelines for integrating AI usage telemetry across Task Master.
+globs: scripts/modules/**/*.js,mcp-server/src/**/*.js
+alwaysApply: true
+---
+
+# AI Usage Telemetry Integration
+
+This document outlines the standard pattern for capturing, propagating, and handling AI usage telemetry data (cost, tokens, model, etc.) across the Task Master stack. This ensures consistent telemetry for both CLI and MCP interactions.
+
+## Overview
+
+Telemetry data is generated within the unified AI service layer ([`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js)) and then passed upwards through the calling functions.
+
+- **Data Source**: [`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js) (specifically its `generateTextService`, `generateObjectService`, etc.) returns an object like `{ mainResult: AI_CALL_OUTPUT, telemetryData: TELEMETRY_OBJECT }`.
+- **`telemetryData` Object Structure**:
+  ```json
+  {
+    "timestamp": "ISO_STRING_DATE",
+    "userId": "USER_ID_FROM_CONFIG",
+    "commandName": "invoking_command_or_tool_name",
+    "modelUsed": "ai_model_id",
+    "providerName": "ai_provider_name",
+    "inputTokens": NUMBER,
+    "outputTokens": NUMBER,
+    "totalTokens": NUMBER,
+    "totalCost": NUMBER, // e.g., 0.012414
+    "currency": "USD" // e.g., "USD"
+  }
+  ```
+
+## Integration Pattern by Layer
+
+The key principle is that each layer receives telemetry data from the layer below it (if applicable) and passes it to the layer above it, or handles it for display in the case of the CLI.
+
+### 1. Core Logic Functions (e.g., in `scripts/modules/task-manager/`)
+
+Functions in this layer that invoke AI services are responsible for handling the `telemetryData` they receive from [`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js).
+
+- **Actions**:
+    1.  Call the appropriate AI service function (e.g., `generateObjectService`).
+        -   Pass `commandName` (e.g., `add-task`, `expand-task`) and `outputType` (e.g., `cli` or `mcp`) in the `params` object to the AI service. The `outputType` can be derived from context (e.g., presence of `mcpLog`).
+    2.  The AI service returns an object, e.g., `aiServiceResponse = { mainResult: {/*AI output*/}, telemetryData: {/*telemetry data*/} }`.
+    3.  Extract `aiServiceResponse.mainResult` for the core processing.
+    4.  **Must return an object that includes `aiServiceResponse.telemetryData`**.
+        Example: `return { operationSpecificData: /*...*/, telemetryData: aiServiceResponse.telemetryData };`
+
+- **CLI Output Handling (If Applicable)**:
+    -   If the core function also handles CLI output (e.g., it has an `outputFormat` parameter that can be `'text'` or `'cli'`):
+        1.  Check if `outputFormat === 'text'` (or `'cli'`).
+        2.  If so, and if `aiServiceResponse.telemetryData` is available, call `displayAiUsageSummary(aiServiceResponse.telemetryData, 'cli')` from [`scripts/modules/ui.js`](mdc:scripts/modules/ui.js).
+        - This ensures telemetry is displayed directly to CLI users after the main command output.
+
+- **Example Snippet (Core Logic in `scripts/modules/task-manager/someAiAction.js`)**:
+  ```javascript
+  import { generateObjectService } from '../ai-services-unified.js';
+  import { displayAiUsageSummary } from '../ui.js';
+
+  async function performAiRelatedAction(params, context, outputFormat = 'text') {
+    const { commandNameFromContext, /* other context vars */ } = context;
+    let aiServiceResponse = null;
+
+    try {
+      aiServiceResponse = await generateObjectService({
+        // ... other parameters for AI service ...
+        commandName: commandNameFromContext || 'default-action-name',
+        outputType: context.mcpLog ? 'mcp' : 'cli' // Derive outputType
+      });
+
+      const usefulAiOutput = aiServiceResponse.mainResult.object;
+      // ... do work with usefulAiOutput ...
+
+      if (outputFormat === 'text' && aiServiceResponse.telemetryData) {
+        displayAiUsageSummary(aiServiceResponse.telemetryData, 'cli');
+      }
+
+      return {
+        actionData: /* results of processing */,
+        telemetryData: aiServiceResponse.telemetryData
+      };
+    } catch (error) {
+      // ... handle error ...
+      throw error;
+    }
+  }
+  ```
+
+### 2. Direct Function Wrappers (in `mcp-server/src/core/direct-functions/`)
+
+These functions adapt core logic for the MCP server, ensuring structured responses.
+
+- **Actions**:
+    1.  Call the corresponding core logic function.
+        -   Pass necessary context (e.g., `session`, `mcpLog`, `projectRoot`).
+        -   Provide the `commandName` (typically derived from the MCP tool name) and `outputType: 'mcp'` in the context object passed to the core function.
+        -   If the core function supports an `outputFormat` parameter, pass `'json'` to suppress CLI-specific UI.
+    2.  The core logic function returns an object (e.g., `coreResult = { actionData: ..., telemetryData: ... }`).
+    3.  Include `coreResult.telemetryData` as a field within the `data` object of the successful response returned by the direct function.
+
+- **Example Snippet (Direct Function `someAiActionDirect.js`)**:
+  ```javascript
+  import { performAiRelatedAction } from '../../../../scripts/modules/task-manager/someAiAction.js'; // Core function
+  import { createLogWrapper } from '../../tools/utils.js'; // MCP Log wrapper
+
+  export async function someAiActionDirect(args, log, context = {}) {
+    const { session } = context;
+    // ... prepare arguments for core function from args, including args.projectRoot ...
+
+    try {
+      const coreResult = await performAiRelatedAction(
+        { /* parameters for core function */ },
+        { // Context for core function
+          session,
+          mcpLog: createLogWrapper(log),
+          projectRoot: args.projectRoot,
+          commandNameFromContext: 'mcp_tool_some_ai_action', // Example command name
+          outputType: 'mcp'
+        },
+        'json' // Request 'json' output format from core function
+      );
+
+      return {
+        success: true,
+        data: {
+          operationSpecificData: coreResult.actionData,
+          telemetryData: coreResult.telemetryData // Pass telemetry through
+        }
+      };
+    } catch (error) {
+      // ... error handling, return { success: false, error: ... } ...
+    }
+  }
+  ```
+
+### 3. MCP Tools (in `mcp-server/src/tools/`)
+
+These are the exposed endpoints for MCP clients.
+
+- **Actions**:
+    1.  Call the corresponding direct function wrapper.
+    2.  The direct function returns an object structured like `{ success: true, data: { operationSpecificData: ..., telemetryData: ... } }` (or an error object).
+    3.  Pass this entire result object to `handleApiResult(result, log)` from [`mcp-server/src/tools/utils.js`](mdc:mcp-server/src/tools/utils.js).
+    4.  `handleApiResult` ensures that the `data` field from the direct function's response (which correctly includes `telemetryData`) is part of the final MCP response.
+
+- **Example Snippet (MCP Tool `some_ai_action.js`)**:
+  ```javascript
+  import { someAiActionDirect } from '../core/task-master-core.js';
+  import { handleApiResult, withNormalizedProjectRoot } from './utils.js';
+  // ... zod for parameters ...
+
+  export function registerSomeAiActionTool(server) {
+    server.addTool({
+      name: "some_ai_action",
+      // ... description, parameters ...
+      execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+        try {
+          const resultFromDirectFunction = await someAiActionDirect(
+            { /* args including projectRoot */ },
+            log,
+            { session }
+          );
+          return handleApiResult(resultFromDirectFunction, log); // This passes the nested telemetryData through
+        } catch (error) {
+          // ... error handling ...
+        }
+      })
+    });
+  }
+  ```
+
+### 4. CLI Commands (`scripts/modules/commands.js`)
+
+These define the command-line interface.
+
+- **Actions**:
+    1.  Call the appropriate core logic function.
+    2.  Pass `outputFormat: 'text'` (or ensure the core function defaults to text-based output for CLI).
+    3.  The core logic function (as per Section 1) is responsible for calling `displayAiUsageSummary` if telemetry data is available and it's in CLI mode.
+    4.  The command action itself **should not** call `displayAiUsageSummary` if the core logic function already handles this. This avoids duplicate display.
+
+- **Example Snippet (CLI Command in `commands.js`)**:
+  ```javascript
+  // In scripts/modules/commands.js
+  import { performAiRelatedAction } from './task-manager/someAiAction.js'; // Core function
+
+  programInstance
+    .command('some-cli-ai-action')
+    // ... .option() ...
+    .action(async (options) => {
+      try {
+        const projectRoot = findProjectRoot() || '.'; // Example root finding
+        // ... prepare parameters for core function from command options ...
+        await performAiRelatedAction(
+          { /* parameters for core function */ },
+          { // Context for core function
+            projectRoot,
+            commandNameFromContext: 'some-cli-ai-action',
+            outputType: 'cli'
+          },
+          'text' // Explicitly request text output format for CLI
+        );
+        // Core function handles displayAiUsageSummary internally for 'text' outputFormat
+      } catch (error) {
+        // ... error handling ...
+      }
+    });
+  ```
+
+## Summary Flow
+
+The telemetry data flows as follows:
+
+1.  **[`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js)**: Generates `telemetryData` and returns `{ mainResult, telemetryData }`.
+2.  **Core Logic Function**:
+    *   Receives `{ mainResult, telemetryData }`.
+    *   Uses `mainResult`.
+    *   If CLI (`outputFormat: 'text'`), calls `displayAiUsageSummary(telemetryData)`.
+    *   Returns `{ operationSpecificData, telemetryData }`.
+3.  **Direct Function Wrapper**:
+    *   Receives `{ operationSpecificData, telemetryData }` from core logic.
+    *   Returns `{ success: true, data: { operationSpecificData, telemetryData } }`.
+4.  **MCP Tool**:
+    *   Receives direct function response.
+    *   `handleApiResult` ensures the final MCP response to the client is `{ success: true, data: { operationSpecificData, telemetryData } }`.
+5.  **CLI Command**:
+    *   Calls core logic with `outputFormat: 'text'`. Display is handled by core logic.
+
+This pattern ensures telemetry is captured and appropriately handled/exposed across all interaction modes.

.cursor/rules/utilities.mdc

@@ -428,36 +428,69 @@ Taskmaster configuration (excluding API keys) is primarily managed through the `
 
 ## MCP Server Tool Utilities (`mcp-server/src/tools/utils.js`)
 
-- **Purpose**: These utilities specifically support the MCP server tools ([`mcp-server/src/tools/*.js`](mdc:mcp-server/src/tools/*.js)), handling MCP communication patterns, response formatting, caching integration, and the CLI fallback mechanism.
-- **Refer to [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc)** for detailed usage patterns within the MCP tool `execute` methods and direct function wrappers.
+These utilities specifically support the implementation and execution of MCP tools.
 
-- **`getProjectRootFromSession(session, log)`**: 
-    - ✅ **DO**: Call this utility **within the MCP tool's `execute` method** to extract the project root path from the `session` object.
-    - Decodes the `file://` URI and handles potential errors.
-    - Returns the project path string or `null`.
-    - The returned path should then be passed in the `args` object when calling the corresponding `*Direct` function (e.g., `yourDirectFunction({ ...args, projectRoot: rootFolder }, log)`).
+- **`normalizeProjectRoot(rawPath, log)`**:
+    - **Purpose**: Takes a raw project root path (potentially URI encoded, with `file://` prefix, Windows slashes) and returns a normalized, absolute path suitable for the server's OS.
+    - **Logic**: Decodes URI, strips `file://`, handles Windows drive prefix (`/C:/`), replaces `\` with `/`, uses `path.resolve()`.
+    - **Usage**: Used internally by `withNormalizedProjectRoot` HOF.
+
+- **`getRawProjectRootFromSession(session, log)`**:
+    - **Purpose**: Extracts the *raw* project root URI string from the session object (`session.roots[0].uri` or `session.roots.roots[0].uri`) without performing normalization.
+    - **Usage**: Used internally by `withNormalizedProjectRoot` HOF as a fallback if `args.projectRoot` isn't provided.
+
+- **`withNormalizedProjectRoot(executeFn)`**:
+    - **Purpose**: A Higher-Order Function (HOF) designed to wrap a tool's `execute` method.
+    - **Logic**: 
+        1. Determines the raw project root (from `args.projectRoot` or `getRawProjectRootFromSession`).
+        2. Normalizes the raw path using `normalizeProjectRoot`.
+        3. Injects the normalized, absolute path back into the `args` object as `args.projectRoot`.
+        4. Calls the original `executeFn` with the updated `args`.
+    - **Usage**: Should wrap the `execute` function of *every* MCP tool that needs a reliable, normalized project root path.
+    - **Example**:
+      ```javascript
+      // In mcp-server/src/tools/your-tool.js
+      import { withNormalizedProjectRoot } from './utils.js';
+      
+      export function registerYourTool(server) {
+          server.addTool({
+              // ... name, description, parameters ...
+              execute: withNormalizedProjectRoot(async (args, context) => {
+                  // args.projectRoot is now normalized here
+                  const { projectRoot /*, other args */ } = args;
+                  // ... rest of tool logic using normalized projectRoot ...
+              })
+          });
+      }
+      ```
 
 - **`handleApiResult(result, log, errorPrefix, processFunction)`**:
-    - ✅ **DO**: Call this from the MCP tool's `execute` method after receiving the result from the `*Direct` function wrapper.
-    - Takes the standard `{ success, data/error, fromCache }` object.
-    - Formats the standard MCP success or error response, including the `fromCache` flag.
-    - Uses `processMCPResponseData` by default to filter response data.
-
-- **`executeTaskMasterCommand(command, log, args, projectRootRaw)`**:
-    - Executes a Task Master CLI command as a child process.
-    - Handles fallback between global `task-master` and local `node scripts/dev.js`.
-    - ❌ **DON'T**: Use this as the primary method for MCP tools. Prefer direct function calls via `*Direct` wrappers.
-
-- **`processMCPResponseData(taskOrData, fieldsToRemove)`**:
-    - Filters task data (e.g., removing `details`, `testStrategy`) before sending to the MCP client. Called by `handleApiResult`.
+    - **Purpose**: Standardizes the formatting of responses returned by direct functions (`{ success, data/error, fromCache }`) into the MCP response format.
+    - **Usage**: Call this at the end of the tool's `execute` method, passing the result from the direct function call.
 
 - **`createContentResponse(content)` / `createErrorResponse(errorMessage)`**:
-    - Formatters for standard MCP success/error responses.
+    - **Purpose**: Helper functions to create the basic MCP response structure for success or error messages.
+    - **Usage**: Used internally by `handleApiResult` and potentially directly for simple responses.
+
+- **`createLogWrapper(log)`**:
+    - **Purpose**: Creates a logger object wrapper with standard methods (`info`, `warn`, `error`, `debug`, `success`) mapping to the passed MCP `log` object's methods. Ensures compatibility when passing loggers to core functions.
+    - **Usage**: Used within direct functions before passing the `log` object down to core logic that expects the standard method names.
 
 - **`getCachedOrExecute({ cacheKey, actionFn, log })`**:
-    - ✅ **DO**: Use this utility *inside direct function wrappers* to implement caching.
-    - Checks cache, executes `actionFn` on miss, stores result.
-    - Returns standard `{ success, data/error, fromCache: boolean }`.
+    - **Purpose**: Utility for implementing caching within direct functions. Checks cache for `cacheKey`; if miss, executes `actionFn`, caches successful result, and returns.
+    - **Usage**: Wrap the core logic execution within a direct function call.
+
+- **`processMCPResponseData(taskOrData, fieldsToRemove)`**:
+    - **Purpose**: Utility to filter potentially sensitive or large fields (like `details`, `testStrategy`) from task objects before sending the response back via MCP.
+    - **Usage**: Passed as the default `processFunction` to `handleApiResult`.
+
+- **`getProjectRootFromSession(session, log)`**:
+    - **Purpose**: Legacy function to extract *and normalize* the project root from the session. Replaced by the HOF pattern but potentially still used.
+    - **Recommendation**: Prefer using the `withNormalizedProjectRoot` HOF in tools instead of calling this directly.
+
+- **`executeTaskMasterCommand(...)`**: 
+    - **Purpose**: Executes `task-master` CLI command as a fallback. 
+    - **Recommendation**: Deprecated for most uses; prefer direct function calls.
 
 ## Export Organization
 

.github/workflows/pre-release.yml

@@ -0,0 +1,62 @@
+name: Pre-Release (RC)
+
+on:
+  workflow_dispatch: # Allows manual triggering from GitHub UI/API
+
+concurrency: pre-release-${{ github.ref }}
+
+jobs:
+  rc:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: 'npm'
+
+      - name: Cache node_modules
+        uses: actions/cache@v4
+        with:
+          path: |
+            node_modules
+            */*/node_modules
+          key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
+          restore-keys: |
+            ${{ runner.os }}-node-
+
+      - name: Install dependencies
+        run: npm ci
+        timeout-minutes: 2
+
+      - name: Enter RC mode
+        run: |
+          npx changeset pre exit || true
+          npx changeset pre enter rc
+
+      - name: Version RC packages
+        run: npx changeset version
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
+
+      - name: Create Release Candidate Pull Request or Publish Release Candidate to npm
+        uses: changesets/action@v1
+        with:
+          publish: npm run release
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
+
+      - name: Exit RC mode
+        run: npx changeset pre exit
+
+      - name: Commit & Push changes
+        uses: actions-js/push@master
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          branch: ${{ github.ref }}
+          message: 'chore: rc version bump'

.github/workflows/release.yml

@@ -33,6 +33,9 @@ jobs:
         run: npm ci
         timeout-minutes: 2
 
+      - name: Exit pre-release mode (safety check)
+        run: npx changeset pre exit || true
+
       - name: Create Release Pull Request or Publish to npm
         uses: changesets/action@v1
         with:

.gitignore

@@ -61,3 +61,6 @@ dist
 *.debug
 init-debug.log
 dev-debug.log
+
+# NPMRC
+.npmrc

.taskmasterconfig

@@ -1,31 +1,32 @@
 {
-  "models": {
-    "main": {
-      "provider": "anthropic",
-      "modelId": "claude-3-7-sonnet-20250219",
-      "maxTokens": 100000,
-      "temperature": 0.2
-    },
-    "research": {
-      "provider": "xai",
-      "modelId": "grok-3",
-      "maxTokens": 8700,
-      "temperature": 0.1
-    },
-    "fallback": {
-      "provider": "anthropic",
-      "modelId": "claude-3-5-sonnet-20241022",
-      "maxTokens": 120000,
-      "temperature": 0.2
-    }
-  },
-  "global": {
-    "logLevel": "info",
-    "debug": false,
-    "defaultSubtasks": 5,
-    "defaultPriority": "medium",
-    "projectName": "Taskmaster",
-    "ollamaBaseUrl": "http://localhost:11434/api",
-    "azureOpenaiBaseUrl": "https://your-endpoint.openai.azure.com/"
-  }
+	"models": {
+		"main": {
+			"provider": "anthropic",
+			"modelId": "claude-3-7-sonnet-20250219",
+			"maxTokens": 100000,
+			"temperature": 0.2
+		},
+		"research": {
+			"provider": "perplexity",
+			"modelId": "sonar-pro",
+			"maxTokens": 8700,
+			"temperature": 0.1
+		},
+		"fallback": {
+			"provider": "anthropic",
+			"modelId": "claude-3-7-sonnet-20250219",
+			"maxTokens": 8192,
+			"temperature": 0.2
+		}
+	},
+	"global": {
+		"logLevel": "info",
+		"debug": false,
+		"defaultSubtasks": 5,
+		"defaultPriority": "medium",
+		"projectName": "Taskmaster",
+		"ollamaBaseUrl": "http://localhost:11434/api",
+		"userId": "1234567890",
+		"azureOpenaiBaseUrl": "https://your-endpoint.openai.azure.com/"
+	}
 }

CHANGELOG.md

@@ -1,5 +1,119 @@
 # task-master-ai
 
+## 0.14.0-rc.0
+
+### Minor Changes
+
+- [#521](https://github.com/eyaltoledano/claude-task-master/pull/521) [`ed17cb0`](https://github.com/eyaltoledano/claude-task-master/commit/ed17cb0e0a04dedde6c616f68f24f3660f68dd04) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - .taskmasterconfig now supports a baseUrl field per model role (main, research, fallback), allowing endpoint overrides for any provider.
+
+- [#528](https://github.com/eyaltoledano/claude-task-master/pull/528) [`58b417a`](https://github.com/eyaltoledano/claude-task-master/commit/58b417a8ce697e655f749ca4d759b1c20014c523) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Display task complexity scores in task lists, next task, and task details views.
+
+### Patch Changes
+
+- [#478](https://github.com/eyaltoledano/claude-task-master/pull/478) [`4117f71`](https://github.com/eyaltoledano/claude-task-master/commit/4117f71c18ee4d321a9c91308d00d5d69bfac61e) Thanks [@joedanz](https://github.com/joedanz)! - Fix CLI --force flag for parse-prd command
+
+  Previously, the --force flag was not respected when running `parse-prd`, causing the command to prompt for confirmation or fail even when --force was provided. This patch ensures that the flag is correctly passed and handled, allowing users to overwrite existing tasks.json files as intended.
+
+  - Fixes #477
+
+- [#511](https://github.com/eyaltoledano/claude-task-master/pull/511) [`17294ff`](https://github.com/eyaltoledano/claude-task-master/commit/17294ff25918d64278674e558698a1a9ad785098) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Task Master no longer tells you to update when you're already up to date
+
+- [#523](https://github.com/eyaltoledano/claude-task-master/pull/523) [`da317f2`](https://github.com/eyaltoledano/claude-task-master/commit/da317f2607ca34db1be78c19954996f634c40923) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix the error handling of task status settings
+
+- [#527](https://github.com/eyaltoledano/claude-task-master/pull/527) [`a8dabf4`](https://github.com/eyaltoledano/claude-task-master/commit/a8dabf44856713f488960224ee838761716bba26) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Remove caching layer from MCP direct functions for task listing, next task, and complexity report
+
+  - Fixes issues users where having where they were getting stale data
+
+- [#417](https://github.com/eyaltoledano/claude-task-master/pull/417) [`a1f8d52`](https://github.com/eyaltoledano/claude-task-master/commit/a1f8d52474fdbdf48e17a63e3f567a6d63010d9f) Thanks [@ksylvan](https://github.com/ksylvan)! - Fix for issue #409 LOG_LEVEL Pydantic validation error
+
+- [#501](https://github.com/eyaltoledano/claude-task-master/pull/501) [`0a61184`](https://github.com/eyaltoledano/claude-task-master/commit/0a611843b56a856ef0a479dc34078326e05ac3a8) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix initial .env.example to work out of the box
+
+  - Closes #419
+
+- [#435](https://github.com/eyaltoledano/claude-task-master/pull/435) [`a96215a`](https://github.com/eyaltoledano/claude-task-master/commit/a96215a359b25061fd3b3f3c7b10e8ac0390c062) Thanks [@lebsral](https://github.com/lebsral)! - Fix default fallback model and maxTokens in Taskmaster initialization
+
+- [#517](https://github.com/eyaltoledano/claude-task-master/pull/517) [`e96734a`](https://github.com/eyaltoledano/claude-task-master/commit/e96734a6cc6fec7731de72eb46b182a6e3743d02) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix bug when updating tasks on the MCP server (#412)
+
+- [#496](https://github.com/eyaltoledano/claude-task-master/pull/496) [`efce374`](https://github.com/eyaltoledano/claude-task-master/commit/efce37469bc58eceef46763ba32df1ed45242211) Thanks [@joedanz](https://github.com/joedanz)! - Fix duplicate output on CLI help screen
+
+  - Prevent the Task Master CLI from printing the help screen more than once when using `-h` or `--help`.
+  - Removed redundant manual event handlers and guards for help output; now only the Commander `.helpInformation` override is used for custom help.
+  - Simplified logic so that help is only shown once for both "no arguments" and help flag flows.
+  - Ensures a clean, branded help experience with no repeated content.
+  - Fixes #339
+
+## 0.13.1
+
+### Patch Changes
+
+- [#399](https://github.com/eyaltoledano/claude-task-master/pull/399) [`734a4fd`](https://github.com/eyaltoledano/claude-task-master/commit/734a4fdcfc89c2e089255618cf940561ad13a3c8) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix ERR_MODULE_NOT_FOUND when trying to run MCP Server
+
+## 0.13.0
+
+### Minor Changes
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`ef782ff`](https://github.com/eyaltoledano/claude-task-master/commit/ef782ff5bd4ceb3ed0dc9ea82087aae5f79ac933) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - feat(expand): Enhance `expand` and `expand-all` commands
+
+  - Integrate `task-complexity-report.json` to automatically determine the number of subtasks and use tailored prompts for expansion based on prior analysis. You no longer need to try copy-pasting the recommended prompt. If it exists, it will use it for you. You can just run `task-master update --id=[id of task] --research` and it will use that prompt automatically. No extra prompt needed.
+  - Change default behavior to _append_ new subtasks to existing ones. Use the `--force` flag to clear existing subtasks before expanding. This is helpful if you need to add more subtasks to a task but you want to do it by the batch from a given prompt. Use force if you want to start fresh with a task's subtasks.
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`87d97bb`](https://github.com/eyaltoledano/claude-task-master/commit/87d97bba00d84e905756d46ef96b2d5b984e0f38) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Adds support for the OpenRouter AI provider. Users can now configure models available through OpenRouter (requiring an `OPENROUTER_API_KEY`) via the `task-master models` command, granting access to a wide range of additional LLMs. - IMPORTANT FYI ABOUT OPENROUTER: Taskmaster relies on AI SDK, which itself relies on tool use. It looks like **free** models sometimes do not include tool use. For example, Gemini 2.5 pro (free) failed via OpenRouter (no tool use) but worked fine on the paid version of the model. Custom model support for Open Router is considered experimental and likely will not be further improved for some time.
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`1ab836f`](https://github.com/eyaltoledano/claude-task-master/commit/1ab836f191cb8969153593a9a0bd47fc9aa4a831) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Adds model management and new configuration file .taskmasterconfig which houses the models used for main, research and fallback. Adds models command and setter flags. Adds a --setup flag with an interactive setup. We should be calling this during init. Shows a table of active and available models when models is called without flags. Includes SWE scores and token costs, which are manually entered into the supported_models.json, the new place where models are defined for support. Config-manager.js is the core module responsible for managing the new config."
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`c8722b0`](https://github.com/eyaltoledano/claude-task-master/commit/c8722b0a7a443a73b95d1bcd4a0b68e0fce2a1cd) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Adds custom model ID support for Ollama and OpenRouter providers.
+
+  - Adds the `--ollama` and `--openrouter` flags to `task-master models --set-<role>` command to set models for those providers outside of the support models list.
+  - Updated `task-master models --setup` interactive mode with options to explicitly enter custom Ollama or OpenRouter model IDs.
+  - Implemented live validation against OpenRouter API (`/api/v1/models`) when setting a custom OpenRouter model ID (via flag or setup).
+  - Refined logic to prioritize explicit provider flags/choices over internal model list lookups in case of ID conflicts.
+  - Added warnings when setting custom/unvalidated models.
+  - We obviously don't recommend going with a custom, unproven model. If you do and find performance is good, please let us know so we can add it to the list of supported models.
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`2517bc1`](https://github.com/eyaltoledano/claude-task-master/commit/2517bc112c9a497110f3286ca4bfb4130c9addcb) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Integrate OpenAI as a new AI provider. - Enhance `models` command/tool to display API key status. - Implement model-specific `maxTokens` override based on `supported-models.json` to save you if you use an incorrect max token value.
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`9a48278`](https://github.com/eyaltoledano/claude-task-master/commit/9a482789f7894f57f655fb8d30ba68542bd0df63) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Tweaks Perplexity AI calls for research mode to max out input tokens and get day-fresh information - Forces temp at 0.1 for highly deterministic output, no variations - Adds a system prompt to further improve the output - Correctly uses the maximum input tokens (8,719, used 8,700) for perplexity - Specificies to use a high degree of research across the web - Specifies to use information that is as fresh as today; this support stuff like capturing brand new announcements like new GPT models and being able to query for those in research. 🔥
+
+### Patch Changes
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`842eaf7`](https://github.com/eyaltoledano/claude-task-master/commit/842eaf722498ddf7307800b4cdcef4ac4fd7e5b0) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - - Add support for Google Gemini models via Vercel AI SDK integration.
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`ed79d4f`](https://github.com/eyaltoledano/claude-task-master/commit/ed79d4f4735dfab4124fa189214c0bd5e23a6860) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Add xAI provider and Grok models support
+
+- [#378](https://github.com/eyaltoledano/claude-task-master/pull/378) [`ad89253`](https://github.com/eyaltoledano/claude-task-master/commit/ad89253e313a395637aa48b9f92cc39b1ef94ad8) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Better support for file paths on Windows, Linux & WSL.
+
+  - Standardizes handling of different path formats (URI encoded, Windows, Linux, WSL).
+  - Ensures tools receive a clean, absolute path suitable for the server OS.
+  - Simplifies tool implementation by centralizing normalization logic.
+
+- [#285](https://github.com/eyaltoledano/claude-task-master/pull/285) [`2acba94`](https://github.com/eyaltoledano/claude-task-master/commit/2acba945c0afee9460d8af18814c87e80f747e9f) Thanks [@neno-is-ooo](https://github.com/neno-is-ooo)! - Add integration for Roo Code
+
+- [#378](https://github.com/eyaltoledano/claude-task-master/pull/378) [`d63964a`](https://github.com/eyaltoledano/claude-task-master/commit/d63964a10eed9be17856757661ff817ad6bacfdc) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Improved update-subtask - Now it has context about the parent task details - It also has context about the subtask before it and the subtask after it (if they exist) - Not passing all subtasks to stay token efficient
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`5f504fa`](https://github.com/eyaltoledano/claude-task-master/commit/5f504fafb8bdaa0043c2d20dee8bbb8ec2040d85) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Improve and adjust `init` command for robustness and updated dependencies.
+
+  - **Update Initialization Dependencies:** Ensure newly initialized projects (`task-master init`) include all required AI SDK dependencies (`@ai-sdk/*`, `ai`, provider wrappers) in their `package.json` for out-of-the-box AI feature compatibility. Remove unnecessary dependencies (e.g., `uuid`) from the init template.
+  - **Silence `npm install` during `init`:** Prevent `npm install` output from interfering with non-interactive/MCP initialization by suppressing its stdio in silent mode.
+  - **Improve Conditional Model Setup:** Reliably skip interactive `models --setup` during non-interactive `init` runs (e.g., `init -y` or MCP) by checking `isSilentMode()` instead of passing flags.
+  - **Refactor `init.js`:** Remove internal `isInteractive` flag logic.
+  - **Update `init` Instructions:** Tweak the "Getting Started" text displayed after `init`.
+  - **Fix MCP Server Launch:** Update `.cursor/mcp.json` template to use `node ./mcp-server/server.js` instead of `npx task-master-mcp`.
+  - **Update Default Model:** Change the default main model in the `.taskmasterconfig` template.
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`96aeeff`](https://github.com/eyaltoledano/claude-task-master/commit/96aeeffc195372722c6a07370540e235bfe0e4d8) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Fixes an issue with add-task which did not use the manually defined properties and still needlessly hit the AI endpoint.
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`5aea93d`](https://github.com/eyaltoledano/claude-task-master/commit/5aea93d4c0490c242d7d7042a210611977848e0a) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Fixes an issue that prevented remove-subtask with comma separated tasks/subtasks from being deleted (only the first ID was being deleted). Closes #140
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`66ac9ab`](https://github.com/eyaltoledano/claude-task-master/commit/66ac9ab9f66d006da518d6e8a3244e708af2764d) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Improves next command to be subtask-aware - The logic for determining the "next task" (findNextTask function, used by task-master next and the next_task MCP tool) has been significantly improved. Previously, it only considered top-level tasks, making its recommendation less useful when a parent task containing subtasks was already marked 'in-progress'. - The updated logic now prioritizes finding the next available subtask within any 'in-progress' parent task, considering subtask dependencies and priority. - If no suitable subtask is found within active parent tasks, it falls back to recommending the next eligible top-level task based on the original criteria (status, dependencies, priority).
+
+  This change makes the next command much more relevant and helpful during the implementation phase of complex tasks.
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`ca7b045`](https://github.com/eyaltoledano/claude-task-master/commit/ca7b0457f1dc65fd9484e92527d9fd6d69db758d) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Add `--status` flag to `show` command to filter displayed subtasks.
+
+- [#328](https://github.com/eyaltoledano/claude-task-master/pull/328) [`5a2371b`](https://github.com/eyaltoledano/claude-task-master/commit/5a2371b7cc0c76f5e95d43921c1e8cc8081bf14e) Thanks [@knoxgraeme](https://github.com/knoxgraeme)! - Fix --task to --num-tasks in ui + related tests - issue #324
+
+- [#240](https://github.com/eyaltoledano/claude-task-master/pull/240) [`6cb213e`](https://github.com/eyaltoledano/claude-task-master/commit/6cb213ebbd51116ae0688e35b575d09443d17c3b) Thanks [@eyaltoledano](https://github.com/eyaltoledano)! - Adds a 'models' CLI and MCP command to get the current model configuration, available models, and gives the ability to set main/research/fallback models." - In the CLI, `task-master models` shows the current models config. Using the `--setup` flag launches an interactive set up that allows you to easily select the models you want to use for each of the three roles. Use `q` during the interactive setup to cancel the setup. - In the MCP, responses are simplified in RESTful format (instead of the full CLI output). The agent can use the `models` tool with different arguments, including `listAvailableModels` to get available models. Run without arguments, it will return the current configuration. Arguments are available to set the model for each of the three roles. This allows you to manage Taskmaster AI providers and models directly from either the CLI or MCP or both. - Updated the CLI help menu when you run `task-master` to include missing commands and .taskmasterconfig information. - Adds `--research` flag to `add-task` so you can hit up Perplexity right from the add-task flow, rather than having to add a task and then update it.
+
 ## 0.12.1
 
 ### Patch Changes

README-task-master.md

@@ -47,7 +47,7 @@ npm install task-master-ai
 task-master init
 
 # If installed locally
-npx task-master-init
+npx task-master init
 ```
 
 This will prompt you for project details and set up a new project with the necessary files and structure.

README.md

@@ -11,8 +11,20 @@ A task management system for AI-driven development with Claude, designed to work
 
 ## Requirements
 
+Taskmaster utilizes AI across several commands, and those require a separate API key. You can use a variety of models from different AI providers provided you add your API keys. For example, if you want to use Claude 3.7, you'll need an Anthropic API key.
+
+You can define 3 types of models to be used: the main model, the research model, and the fallback model (in case either the main or research fail). Whatever model you use, its provider API key must be present in either mcp.json or .env.
+
+At least one (1) of the following is required:
+
 - Anthropic API key (Claude API)
-- OpenAI SDK (for Perplexity API integration, optional)
+- OpenAI API key
+- Google Gemini API key
+- Perplexity API key (for research model)
+- xAI API Key (for research or main model)
+- OpenRouter API Key (for research or main model)
+
+Using the research model is optional but highly recommended. You will need at least ONE API key. Adding all API keys enables you to seamlessly switch between model providers at will.
 
 ## Quick Start
 
@@ -36,7 +48,8 @@ MCP (Model Control Protocol) provides the easiest way to get started with Task M
 				"MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
 				"OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
 				"XAI_API_KEY": "YOUR_XAI_KEY_HERE",
-				"AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE"
+				"AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE",
+				"OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
 			}
 		}
 	}

assets/.taskmasterconfig

@@ -14,8 +14,8 @@
 		},
 		"fallback": {
 			"provider": "anthropic",
-			"modelId": "claude-3.5-sonnet-20240620",
-			"maxTokens": 120000,
+			"modelId": "claude-3-5-sonnet-20240620",
+			"maxTokens": 8192,
 			"temperature": 0.1
 		}
 	},

assets/.windsurfrules

@@ -198,7 +198,7 @@ alwaysApply: true
   - **MAX_TOKENS** (Default: `"4000"`): Maximum tokens for responses (Example: `MAX_TOKENS=8000`)
   - **TEMPERATURE** (Default: `"0.7"`): Temperature for model responses (Example: `TEMPERATURE=0.5`)
   - **DEBUG** (Default: `"false"`): Enable debug logging (Example: `DEBUG=true`)
-  - **LOG_LEVEL** (Default: `"info"`): Console output level (Example: `LOG_LEVEL=debug`)
+  - **TASKMASTER_LOG_LEVEL** (Default: `"info"`): Console output level (Example: `TASKMASTER_LOG_LEVEL=debug`)
   - **DEFAULT_SUBTASKS** (Default: `"3"`): Default subtask count (Example: `DEFAULT_SUBTASKS=5`)
   - **DEFAULT_PRIORITY** (Default: `"medium"`): Default priority (Example: `DEFAULT_PRIORITY=high`)
   - **PROJECT_NAME** (Default: `"MCP SaaS MVP"`): Project name in metadata (Example: `PROJECT_NAME=My Awesome Project`)

assets/env.example

@@ -1,8 +1,9 @@
 # API Keys (Required to enable respective provider)
-ANTHROPIC_API_KEY=your_anthropic_api_key_here       # Required: Format: sk-ant-api03-...
-PERPLEXITY_API_KEY=your_perplexity_api_key_here     # Optional: Format: pplx-...
-OPENAI_API_KEY=your_openai_api_key_here             # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
-GOOGLE_API_KEY=your_google_api_key_here             # Optional, for Google Gemini models.
-MISTRAL_API_KEY=your_mistral_key_here               # Optional, for Mistral AI models.
-XAI_API_KEY=YOUR_XAI_KEY_HERE                       # Optional, for xAI AI models.
-AZURE_OPENAI_API_KEY=your_azure_key_here            # Optional, for Azure OpenAI models (requires endpoint in .taskmasterconfig).
+ANTHROPIC_API_KEY="your_anthropic_api_key_here"       # Required: Format: sk-ant-api03-...
+PERPLEXITY_API_KEY="your_perplexity_api_key_here"     # Optional: Format: pplx-...
+OPENAI_API_KEY="your_openai_api_key_here"             # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
+GOOGLE_API_KEY="your_google_api_key_here"             # Optional, for Google Gemini models.
+MISTRAL_API_KEY="your_mistral_key_here"               # Optional, for Mistral AI models.
+XAI_API_KEY="YOUR_XAI_KEY_HERE"                       # Optional, for xAI AI models.
+AZURE_OPENAI_API_KEY="your_azure_key_here"            # Optional, for Azure OpenAI models (requires endpoint in .taskmasterconfig).
+OLLAMA_API_KEY="your_ollama_api_key_here"             # Optional: For remote Ollama servers that require authentication.

assets/scripts_README.md

@@ -31,7 +31,7 @@ Task Master configuration is now managed through two primary methods:
     - Create a `.env` file in your project root for CLI usage.
     - See `assets/env.example` for required key names.
 
-**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
+**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `TASKMASTER_LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
 
 ## How It Works
 
@@ -200,7 +200,7 @@ Notes:
 
 ## Logging
 
-The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
+The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
 
 - `debug`: Detailed information, typically useful for troubleshooting
 - `info`: Confirmation that things are working as expected (default)

context/chats/max-min-tokens.txt.md

@@ -0,0 +1,368 @@
+We want to refine how Task Master handles AI model token limits to be more precise, by:
+
+1.  Distinguishing between `maxInputTokens` and `maxOutputTokens` in the configuration.
+2.  Dynamically adjusting the `maxOutputTokens` for an API call based on the actual prompt length to stay within the model's total context window (or respecting separate input/output limits if the API and model support that).
+3.  Ensuring that `ai-services-unified.js` uses these more granular limits.
+
+This is a good improvement for both cost control and preventing errors.
+
+Here's a plan:
+
+**Phase 1: Configuration and Core Logic Updates**
+
+1.  **Update `.taskmasterconfig` Structure:**
+    - I'll modify the `models` section in your `.taskmasterconfig`. For each role (`main`, `research`, `fallback`), `maxTokens` will be replaced with `maxInputTokens` and `maxOutputTokens`.
+      - We'll need to decide on reasonable default values for these new fields. We can look at the current `maxTokens` and the model's known limits to make an initial guess.
+2.  **Update `MODEL_MAP` in `ai-services-unified.js`:**
+    - This array already stores cost data. We need to ensure it also stores the _absolute_ maximum input and output tokens for each model listed (e.g., `model_max_input_tokens`, `model_max_output_tokens`). If these fields are not present, they will need to be added. The values in `.taskmasterconfig` will then represent user-defined operational limits, which should ideally be validated against these absolute maximums.
+3.  **Update `config-manager.js`:**
+    - Getter functions like `getParametersForRole` will be updated to fetch `maxInputTokens` and `maxOutputTokens` instead of the singular `maxTokens`.
+    - New getters might be needed if we want to access the model's absolute limits directly from `MODEL_MAP` via `config-manager.js`.
+4.  **Update `ai-services-unified.js` (`_unifiedServiceRunner`):**
+    - **Token Counting:** This is a crucial step. Before an API call, we need to estimate the token count of the combined `systemPrompt` and `userPrompt`.
+      - The Vercel AI SDK or the individual provider SDKs might offer utilities for this. For example, some SDKs expose a `tokenizer` or a way to count tokens for a given string.
+      - If a direct utility isn't available through the Vercel SDK for the specific provider, we might need to use a library like `tiktoken` for OpenAI/Anthropic models or investigate provider-specific tokenization. This could be complex as tokenization varies between models.
+      - For now, let's assume we can get a reasonable estimate.
+    - **Dynamic Output Token Calculation & Validation:**
+      - Retrieve `configured_max_input_tokens` and `configured_max_output_tokens` from `config-manager.js` for the current role.
+      - Retrieve `model_absolute_max_input_tokens` and `model_absolute_max_output_tokens` from `MODEL_MAP`.
+      - Let `prompt_tokens = countTokens(systemPrompt + userPrompt)`.
+      - **Input Validation:** If `prompt_tokens > configured_max_input_tokens` OR `prompt_tokens > model_absolute_max_input_tokens`, throw an error. (We might also consider auto-truncation strategies in the future, but an error is safer to start).
+      - **Output Calculation:** The `max_tokens` parameter sent to the API (which typically refers to the _max number of tokens to generate_) should be `configured_max_output_tokens`. We also need to ensure this doesn't violate the model's absolute output limit.
+      - Some models have a _total_ context window (input + output). If this is the case for a model, the `max_tokens` parameter for the API call might need to be `min(configured_max_output_tokens, model_absolute_total_tokens - prompt_tokens)`. However, many modern APIs handle separate input and output limits, simplifying this. We'll aim to pass `configured_max_output_tokens` as the API's `max_tokens` parameter, assuming the input validation has passed.
+    - **API Call Parameter:** Update the `callParams` to use the correctly determined `max_tokens` for generation (which will be our `configured_max_output_tokens`).
+
+**Phase 2: Error Handling and Refinements**
+
+1.  **Enhanced Error Handling:** Provide clear error messages if prompt tokens exceed input limits, or if API calls fail due to token issues despite our calculations.
+2.  **Validation:** Add validation (perhaps in `config-manager.js` or when `task-master models --setup` is run) to ensure `configured_max_input_tokens` and `configured_max_output_tokens` in `.taskmasterconfig` do not exceed the `model_absolute_max_input_tokens` and `model_absolute_max_output_tokens` from `MODEL_MAP`.
+
+Let's start by inspecting `scripts/modules/config-manager.js` to see how parameters and `MODEL_MAP` are currently handled. This will inform the changes needed for `.taskmasterconfig` and `ai-services-unified.js`.
+
+I will now read `scripts/modules/config-manager.js`.
+
+Okay, I've reviewed `scripts/modules/config-manager.js`. Here's what I've gathered and how it impacts the plan:
+
+- **`MODEL_MAP` Source:** `MODEL_MAP` is loaded from `supported-models.json`. This is excellent, as it means we can update the model capabilities (including new token limits) in a structured JSON file.
+- **Configuration Loading:** `_loadAndValidateConfig` handles loading `.taskmasterconfig` and merging it with `DEFAULTS`.
+- **Getters:** There are specific getters for `maxTokens` for each role (e.g., `getMainMaxTokens`). We will need to update these.
+- **`getParametersForRole`:** This function already exists and is a good candidate for returning the new `maxInputTokens` and `maxOutputTokens`.
+
+Here's the refined plan:
+
+**Phase 1: Configuration and Data Structures**
+
+1.  **Update `supported-models.json`:**
+
+    - For each model entry in `supported-models.json`, we need to add `maxInputTokens` and `maxOutputTokens` fields. These should reflect the _absolute maximums_ for that specific model.
+    - Example entry change:
+
+      ```json
+      // Before
+      {
+          "id": "claude-3-7-sonnet-20250219",
+          "name": "Claude 3.7 Sonnet (Preview)",
+          "context_window": 200000, // This might be total context
+          "cost_per_1m_tokens": { "input": 3, "output": 15, "currency": "USD" }
+      }
+
+      // After (assuming 200k is total, and we make a reasonable split or find official numbers)
+      {
+          "id": "claude-3-7-sonnet-20250219",
+          "name": "Claude 3.7 Sonnet (Preview)",
+          "maxInputTokens": 190000, // Example
+          "maxOutputTokens": 8192,  // Example, often smaller for generation
+          "cost_per_1m_tokens": { "input": 3, "output": 15, "currency": "USD" }
+      }
+      ```
+
+    - I will need to find the official input/output token limits for the models currently in your `MODEL_MAP`. If you have this information handy, it would speed things up. Otherwise, I can make educated guesses or search for them.
+
+2.  **Update `.taskmasterconfig` (Defaults and User File):**
+    - In `scripts/modules/config-manager.js`, modify the `DEFAULTS` object. For each role (`main`, `research`, `fallback`), replace `maxTokens` with:
+      - `maxInputTokens`: A sensible default (e.g., a large portion of the model's capability, but user-configurable).
+      - `maxOutputTokens`: A sensible default for generation (e.g., 4096 or 8192).
+    - You will then need to manually update your existing `.taskmasterconfig` file to reflect this new structure. I can provide the snippet for you to paste.
+3.  **Update `config-manager.js`:**
+    - Modify `getParametersForRole(role, explicitRoot = null)`:
+      - It currently fetches `maxTokens` and `temperature`.
+      - Update it to fetch `maxInputTokens`, `maxOutputTokens`, and `temperature` from the loaded config for the given role.
+    - Remove the role-specific `getMaxTokens` functions (e.g., `getMainMaxTokens`, `getResearchMaxTokens`, `getFallbackMaxTokens`). The `getParametersForRole` will be the central way to get these.
+    - (Optional, for later validation) Consider adding a new function `getModelCapabilities(providerName, modelId)` that reads from `MODEL_MAP` to return the absolute `maxInputTokens` and `maxOutputTokens` for a given model. This would be useful for validating the user's settings in `.taskmasterconfig`.
+
+**Phase 2: Core Logic in `ai-services-unified.js`**
+
+1.  **Token Counting (`_unifiedServiceRunner`):**
+
+    - This is the most complex part. We need a reliable way to count tokens for the prompts.
+      - **Strategy 1 (Ideal):** Leverage Vercel AI SDK. The SDK might provide a way to get a tokenizer for the active model or a utility function. We'll need to investigate its capabilities.
+      - **Strategy 2 (Fallback):** Use a library like `tiktoken` for models compatible with OpenAI's tokenization (many are, including some Anthropic models). For other models, we might need provider-specific tokenizers or make estimations (less ideal).
+      - **Initial Approach:** Let's try to find a Vercel AI SDK utility first. If not, we'll start with `tiktoken` as a common case and acknowledge that other models might need specific handling later.
+    - The function `_unifiedServiceRunner` will call this token counting utility:
+
+      ```javascript
+      // Placeholder for token counting
+      function countTokens(text, modelId /* or providerName */) {
+      	// ... implementation using SDK or library ...
+      	// This is a simplification; actual tokenization is model-specific.
+      	// For now, a rough estimate might be (text.length / 4) as a placeholder
+      	// if a proper tokenizer isn't immediately available.
+      	if (!text) return 0;
+      	return Math.ceil(text.length / 3.5); // Very rough general estimate
+      }
+
+      const promptTokens = countTokens(systemPrompt) + countTokens(prompt);
+      ```
+
+2.  **Dynamic Output Token Calculation & Validation (`_unifiedServiceRunner`):**
+
+    - Fetch parameters using the updated `getParametersForRole` from `config-manager.js`:
+      ```javascript
+      const roleParams = getParametersForRole(
+      	currentRole,
+      	effectiveProjectRoot
+      );
+      // roleParams will now contain { maxInputTokens, maxOutputTokens, temperature }
+      ```
+    - Fetch model's absolute limits from `MODEL_MAP` (we'll need a helper in `config-manager.js` or do it directly in `ai-services-unified.js` for now):
+      ```javascript
+      // Simplified; ideally use a robust getter from config-manager
+      const modelInfo = MODEL_MAP[providerName?.toLowerCase()]?.find(
+      	(m) => m.id === modelId
+      );
+      const modelAbsoluteMaxInput = modelInfo?.maxInputTokens || Infinity;
+      const modelAbsoluteMaxOutput =
+      	modelInfo?.maxOutputTokens || roleParams.maxOutputTokens; // Fallback to configured if not in map
+      ```
+    - **Input Validation:**
+      ```javascript
+      if (promptTokens > roleParams.maxInputTokens) {
+      	throw new Error(
+      		`Prompt (${promptTokens} tokens) exceeds configured max input tokens (${roleParams.maxInputTokens}) for role '${currentRole}'.`
+      	);
+      }
+      if (promptTokens > modelAbsoluteMaxInput) {
+      	throw new Error(
+      		`Prompt (${promptTokens} tokens) exceeds model's absolute max input tokens (${modelAbsoluteMaxInput}) for ${modelId}.`
+      	);
+      }
+      ```
+    - **API Call Parameter (`max_tokens` for generation):**
+      The `max_tokens` parameter passed to the provider's API call should be `roleParams.maxOutputTokens`. We must also ensure this doesn't exceed the model's absolute output capability.
+
+      ```javascript
+      const apiMaxOutputTokens = Math.min(
+      	roleParams.maxOutputTokens,
+      	modelAbsoluteMaxOutput
+      );
+
+      const callParams = {
+      	apiKey,
+      	modelId,
+      	// Use apiMaxOutputTokens for the actual API call
+      	maxTokens: apiMaxOutputTokens, // This usually means max tokens to GENERATE
+      	temperature: roleParams.temperature,
+      	messages,
+      	baseUrl,
+      	...(serviceType === 'generateObject' && { schema, objectName }),
+      	...restApiParams
+      };
+      ```
+
+3.  **Update `logAiUsage`:**
+    - The cost calculation in `logAiUsage` seems correct as it already uses `inputCost` and `outputCost` per 1M tokens. This part should remain compatible.
+
+**Next Steps:**
+
+1.  **Modify `supported-models.json`:** I need the content of this file to propose the new `maxInputTokens` and `maxOutputTokens` fields. Please provide it.
+2.  **Decide on Tokenizer Strategy:** What are your thoughts on the token counting? Are you aware of any utilities within Vercel AI SDK for this, or should we plan to integrate `tiktoken` initially?
+
+Once I have the content of `supported-models.json`, I can draft the changes for it and then proceed to `config-manager.js` and `.taskmasterconfig`.
+
+```json
+        // Before
+        {
+            "id": "claude-3-7-sonnet-20250219",
+            "name": "Claude 3.7 Sonnet (Preview)",
+            "context_window": 200000, // This might be total context
+            "cost_per_1m_tokens": { "input": 3, "output": 15, "currency": "USD" }
+        }
+
+        // After (assuming 200k is total, and we make a reasonable split or find official numbers)
+        {
+            "id": "claude-3-7-sonnet-20250219",
+            "name": "Claude 3.7 Sonnet (Preview)",
+            "maxInputTokens": 190000, // Example
+            "maxOutputTokens": 8192,  // Example, often smaller for generation
+            "cost_per_1m_tokens": { "input": 3, "output": 15, "currency": "USD" }
+        }
+```
+
+```javascript
+// Placeholder for token counting
+function countTokens(text, modelId /* or providerName */) {
+	// ... implementation using SDK or library ...
+	// This is a simplification; actual tokenization is model-specific.
+	// For now, a rough estimate might be (text.length / 4) as a placeholder
+	// if a proper tokenizer isn't immediately available.
+	if (!text) return 0;
+	return Math.ceil(text.length / 3.5); // Very rough general estimate
+}
+
+const promptTokens = countTokens(systemPrompt) + countTokens(prompt);
+```
+
+```javascript
+const roleParams = getParametersForRole(currentRole, effectiveProjectRoot);
+// roleParams will now contain { maxInputTokens, maxOutputTokens, temperature }
+```
+
+```javascript
+// Simplified; ideally use a robust getter from config-manager
+const modelInfo = MODEL_MAP[providerName?.toLowerCase()]?.find(
+	(m) => m.id === modelId
+);
+const modelAbsoluteMaxInput = modelInfo?.maxInputTokens || Infinity;
+const modelAbsoluteMaxOutput =
+	modelInfo?.maxOutputTokens || roleParams.maxOutputTokens; // Fallback to configured if not in map
+```
+
+```javascript
+if (promptTokens > roleParams.maxInputTokens) {
+	throw new Error(
+		`Prompt (${promptTokens} tokens) exceeds configured max input tokens (${roleParams.maxInputTokens}) for role '${currentRole}'.`
+	);
+}
+if (promptTokens > modelAbsoluteMaxInput) {
+	throw new Error(
+		`Prompt (${promptTokens} tokens) exceeds model's absolute max input tokens (${modelAbsoluteMaxInput}) for ${modelId}.`
+	);
+}
+```
+
+```javascript
+const apiMaxOutputTokens = Math.min(
+	roleParams.maxOutputTokens,
+	modelAbsoluteMaxOutput
+);
+
+const callParams = {
+	apiKey,
+	modelId,
+	// Use apiMaxOutputTokens for the actual API call
+	maxTokens: apiMaxOutputTokens, // This usually means max tokens to GENERATE
+	temperature: roleParams.temperature,
+	messages,
+	baseUrl,
+	...(serviceType === 'generateObject' && { schema, objectName }),
+	...restApiParams
+};
+```
+
+Okay, I have the contents of `supported-models.json`.
+
+It seems many models have a `max_tokens` field, which I assume is the _total context window_. Some don't have it, and for others (like OpenAI `gpt-4o`), the listed `max_tokens` (16384) is known to be its _output_ token limit when using the Chat Completions API, while the context window is much larger (128k). This highlights the complexity: `max_tokens` in `supported-models.json` is used inconsistently.
+
+**Revised Plan for `supported-models.json` and Token Definitions:**
+
+To bring clarity, we'll introduce two new fields and ensure their meaning is consistent:
+
+- `contextWindowTokens`: The total number of tokens the model can process (input + output). This would replace the current ambiguous `max_tokens`.
+- `maxOutputTokens`: The maximum number of tokens the model can _generate_ in a single response. This is often smaller than the total context window, especially for larger models.
+
+If a model _only_ specifies a total context window, we'll have to make a reasonable assumption for `maxOutputTokens` (e.g., 4096 or 8192, or a fraction of the total context window). If it only specifies an output token limit (like some OpenAI models in certain API modes), we'll need to find its total context window.
+
+**Updated `supported-models.json` Structure (Example):**
+
+```json
+// For a model like Anthropic Claude 3.7 Sonnet (Preview)
+{
+    "id": "claude-3-7-sonnet-20250219",
+    "swe_score": 0.623,
+    "cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 200000, // From Anthropic's documentation
+    "maxOutputTokens": 8192     // Anthropic default, user can override in .taskmasterconfig
+}
+
+// For a model like OpenAI GPT-4o
+{
+    "id": "gpt-4o",
+    "swe_score": 0.332,
+    "cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 128000, // Official context window
+    "maxOutputTokens": 16384    // Max output for chat completions is 16k for gpt-4o (used to be 4k/8k for older gpt-4)
+                                // but the model card mentions 128k total. The API call parameter for `max_tokens` sets this output cap.
+}
+```
+
+I will proceed to generate the updated `supported-models.json` content. This will be a significant change. I will make my best effort to find the correct `contextWindowTokens` and `maxOutputTokens` for each model. If official numbers are ambiguous or not readily available, I'll use sensible defaults and add a comment.
+
+**Regarding Tokenizer Strategy:**
+
+- **Vercel AI SDK:** The `ai` package (Vercel AI SDK) itself is a lightweight wrapper. Tokenization is usually handled by the underlying provider-specific SDKs (e.g., `@anthropic-ai/sdk`, `openai`). The Vercel SDK doesn't provide a universal tokenizer.
+- **Provider SDKs:**
+  - `@anthropic-ai/sdk`: Does not expose a public tokenizer directly. Anthropic recommends counting based on their guidelines (roughly 3.5 chars/token for English).
+  - `openai` (for Node.js): The `gpt-3-encoder` or `tiktoken` libraries are commonly used. `tiktoken` is more current.
+- **`tiktoken`:** This is a good general-purpose library for OpenAI models and those that use compatible tokenization (many models fine-tuned from Llama, etc., might be close). It supports various encodings.
+- **Recommendation:**
+  1.  Start by integrating `tiktoken`. We can select the encoding based on the provider or even specific model if needed (e.g., `cl100k_base` for gpt-4, gpt-3.5-turbo, DALL-E models).
+  2.  For providers where `tiktoken` is not accurate (e.g., Google's Gemini, Perplexity if they have proprietary tokenizers), we might have to rely on character-based estimations (e.g., `length / N`) as a rougher guide or investigate if their specific SDKs offer token counting.
+  3.  The Vercel AI SDK's `experimental_streamObject` and other functions _might_ internally handle some aspects of token counting for request preparation, but we need explicit counting for our logic _before_ the call.
+
+For now, let's assume we'll add a `countTokens` utility that uses `tiktoken` for OpenAI and Anthropic (as Anthropic's guidance is character-based but `cl100k_base` is often a decent proxy for their tokenization for rough estimates, though not perfect), and a character-based fallback for others.
+
+I will now generate the proposed changes for `scripts/modules/supported-models.json`. This will be a large diff.
+
+After this, we'll move to:
+
+1.  Updating `.taskmasterconfig` defaults in `config-manager.js` and providing you the snippet for your user file.
+2.  Updating `config-manager.js` getters.
+3.  Implementing the logic in `ai-services-unified.js`.
+
+```json
+// For a model like Anthropic Claude 3.7 Sonnet (Preview)
+{
+    "id": "claude-3-7-sonnet-20250219",
+    "swe_score": 0.623,
+    "cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 200000, // From Anthropic's documentation
+    "maxOutputTokens": 8192     // Anthropic default, user can override in .taskmasterconfig
+}
+
+// For a model like OpenAI GPT-4o
+{
+    "id": "gpt-4o",
+    "swe_score": 0.332,
+    "cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 128000, // Official context window
+    "maxOutputTokens": 16384    // Max output for chat completions is 16k for gpt-4o (used to be 4k/8k for older gpt-4)
+                                // but the model card mentions 128k total. The API call parameter for `max_tokens` sets this output cap.
+}
+```
+
+```json
+// For a model like Anthropic Claude 3.7 Sonnet (Preview)
+{
+    "id": "claude-3-7-sonnet-20250219",
+    "swe_score": 0.623,
+    "cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 200000, // From Anthropic's documentation
+    "maxOutputTokens": 8192     // Anthropic default, user can override in .taskmasterconfig
+}
+
+// For a model like OpenAI GPT-4o
+{
+    "id": "gpt-4o",
+    "swe_score": 0.332,
+    "cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 128000, // Official context window
+    "maxOutputTokens": 16384    // Max output for chat completions is 16k for gpt-4o (used to be 4k/8k for older gpt-4)
+                                // but the model card mentions 128k total. The API call parameter for `max_tokens` sets this output cap.
+}
+```

docs/configuration.md

@@ -15,13 +15,15 @@ Taskmaster uses two primary methods for configuration:
       			"provider": "anthropic",
       			"modelId": "claude-3-7-sonnet-20250219",
       			"maxTokens": 64000,
-      			"temperature": 0.2
+      			"temperature": 0.2,
+      			"baseUrl": "https://api.anthropic.com/v1"
       		},
       		"research": {
       			"provider": "perplexity",
       			"modelId": "sonar-pro",
       			"maxTokens": 8700,
-      			"temperature": 0.1
+      			"temperature": 0.1,
+      			"baseUrl": "https://api.perplexity.ai/v1"
       		},
       		"fallback": {
       			"provider": "anthropic",
@@ -56,8 +58,9 @@ Taskmaster uses two primary methods for configuration:
       - `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
       - `OPENROUTER_API_KEY`: Your OpenRouter API key.
       - `XAI_API_KEY`: Your X-AI API key.
-    - **Optional Endpoint Overrides (in .taskmasterconfig):**
-      - `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key.
+    - **Optional Endpoint Overrides:**
+      - **Per-role `baseUrl` in `.taskmasterconfig`:** You can add a `baseUrl` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
+      - `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseUrl` for the Azure model role).
       - `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
 
 **Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmasterconfig`**, not environment variables.

docs/tutorial.md

@@ -89,7 +89,7 @@ Initialize a new project:
 task-master init
 
 # If installed locally
-npx task-master-init
+npx task-master init
 ```
 
 This will prompt you for project details and set up a new project with the necessary files and structure.

mcp-server/src/core/direct-functions/add-task.js

@@ -23,13 +23,21 @@ import { createLogWrapper } from '../../tools/utils.js';
  * @param {string} [args.priority='medium'] - Task priority (high, medium, low)
  * @param {string} [args.tasksJsonPath] - Path to the tasks.json file (resolved by tool)
  * @param {boolean} [args.research=false] - Whether to use research capabilities for task creation
+ * @param {string} [args.projectRoot] - Project root path
  * @param {Object} log - Logger object
  * @param {Object} context - Additional context (session)
  * @returns {Promise<Object>} - Result object { success: boolean, data?: any, error?: { code: string, message: string } }
  */
 export async function addTaskDirect(args, log, context = {}) {
-	// Destructure expected args (including research)
-	const { tasksJsonPath, prompt, dependencies, priority, research } = args;
+	// Destructure expected args (including research and projectRoot)
+	const {
+		tasksJsonPath,
+		prompt,
+		dependencies,
+		priority,
+		research,
+		projectRoot
+	} = args;
 	const { session } = context; // Destructure session from context
 
 	// Enable silent mode to prevent console logs from interfering with JSON response
@@ -86,6 +94,7 @@ export async function addTaskDirect(args, log, context = {}) {
 
 		let manualTaskData = null;
 		let newTaskId;
+		let telemetryData;
 
 		if (isManualCreation) {
 			// Create manual task data object
@@ -101,19 +110,25 @@ export async function addTaskDirect(args, log, context = {}) {
 			);
 
 			// Call the addTask function with manual task data
-			newTaskId = await addTask(
+			const result = await addTask(
 				tasksPath,
 				null, // prompt is null for manual creation
 				taskDependencies,
 				taskPriority,
 				{
 					session,
-					mcpLog
+					mcpLog,
+					projectRoot,
+					commandName: 'add-task',
+					outputType: 'mcp'
 				},
 				'json', // outputFormat
 				manualTaskData, // Pass the manual task data
-				false // research flag is false for manual creation
+				false, // research flag is false for manual creation
+				projectRoot // Pass projectRoot
 			);
+			newTaskId = result.newTaskId;
+			telemetryData = result.telemetryData;
 		} else {
 			// AI-driven task creation
 			log.info(
@@ -121,19 +136,24 @@ export async function addTaskDirect(args, log, context = {}) {
 			);
 
 			// Call the addTask function, passing the research flag
-			newTaskId = await addTask(
+			const result = await addTask(
 				tasksPath,
 				prompt, // Use the prompt for AI creation
 				taskDependencies,
 				taskPriority,
 				{
 					session,
-					mcpLog
+					mcpLog,
+					projectRoot,
+					commandName: 'add-task',
+					outputType: 'mcp'
 				},
 				'json', // outputFormat
 				null, // manualTaskData is null for AI creation
 				research // Pass the research flag
 			);
+			newTaskId = result.newTaskId;
+			telemetryData = result.telemetryData;
 		}
 
 		// Restore normal logging
@@ -143,7 +163,8 @@ export async function addTaskDirect(args, log, context = {}) {
 			success: true,
 			data: {
 				taskId: newTaskId,
-				message: `Successfully added new task #${newTaskId}`
+				message: `Successfully added new task #${newTaskId}`,
+				telemetryData: telemetryData
 			}
 		};
 	} catch (error) {

mcp-server/src/core/direct-functions/analyze-task-complexity.js

@@ -18,15 +18,17 @@ import { createLogWrapper } from '../../tools/utils.js'; // Import the new utili
  * @param {string} args.outputPath - Explicit absolute path to save the report.
  * @param {string|number} [args.threshold] - Minimum complexity score to recommend expansion (1-10)
  * @param {boolean} [args.research] - Use Perplexity AI for research-backed complexity analysis
+ * @param {string} [args.projectRoot] - Project root path.
  * @param {Object} log - Logger object
  * @param {Object} [context={}] - Context object containing session data
  * @param {Object} [context.session] - MCP session object
  * @returns {Promise<{success: boolean, data?: Object, error?: {code: string, message: string}}>}
  */
 export async function analyzeTaskComplexityDirect(args, log, context = {}) {
-	const { session } = context; // Extract session
-	// Destructure expected args
-	const { tasksJsonPath, outputPath, model, threshold, research } = args; // Model is ignored by core function now
+	const { session } = context;
+	const { tasksJsonPath, outputPath, threshold, research, projectRoot } = args;
+
+	const logWrapper = createLogWrapper(log);
 
 	// --- Initial Checks (remain the same) ---
 	try {
@@ -60,35 +62,36 @@ export async function analyzeTaskComplexityDirect(args, log, context = {}) {
 			log.info('Using research role for complexity analysis');
 		}
 
-		// Prepare options for the core function
-		const options = {
-			file: tasksPath,
-			output: resolvedOutputPath,
-			// model: model, // No longer needed
+		// Prepare options for the core function - REMOVED mcpLog and session here
+		const coreOptions = {
+			file: tasksJsonPath,
+			output: outputPath,
 			threshold: threshold,
-			research: research === true // Ensure boolean
+			research: research === true, // Ensure boolean
+			projectRoot: projectRoot // Pass projectRoot here
 		};
 		// --- End Initial Checks ---
 
-		// --- Silent Mode and Logger Wrapper (remain the same) ---
+		// --- Silent Mode and Logger Wrapper ---
 		const wasSilent = isSilentMode();
 		if (!wasSilent) {
-			enableSilentMode();
+			enableSilentMode(); // Still enable silent mode as a backup
 		}
 
-		// Create logger wrapper using the utility
-		const mcpLog = createLogWrapper(log);
-
-		let report; // To store the result from the core function
+		let report;
+		let coreResult;
 
 		try {
-			// --- Call Core Function (Updated Context Passing) ---
-			// Call the core function, passing options and the context object { session, mcpLog }
-			report = await analyzeTaskComplexity(options, {
-				session, // Pass the session object
-				mcpLog // Pass the logger wrapper
+			// --- Call Core Function (Pass context separately) ---
+			// Pass coreOptions as the first argument
+			// Pass context object { session, mcpLog } as the second argument
+			coreResult = await analyzeTaskComplexity(coreOptions, {
+				session,
+				mcpLog: logWrapper,
+				commandName: 'analyze-complexity',
+				outputType: 'mcp'
 			});
-			// --- End Core Function Call ---
+			report = coreResult.report;
 		} catch (error) {
 			log.error(
 				`Error in analyzeTaskComplexity core function: ${error.message}`
@@ -100,7 +103,7 @@ export async function analyzeTaskComplexityDirect(args, log, context = {}) {
 			return {
 				success: false,
 				error: {
-					code: 'ANALYZE_CORE_ERROR', // More specific error code
+					code: 'ANALYZE_CORE_ERROR',
 					message: `Error running core complexity analysis: ${error.message}`
 				}
 			};
@@ -124,10 +127,13 @@ export async function analyzeTaskComplexityDirect(args, log, context = {}) {
 			};
 		}
 
-		// The core function now returns the report object directly
-		if (!report || !report.complexityAnalysis) {
+		if (
+			!coreResult ||
+			!coreResult.report ||
+			typeof coreResult.report !== 'object'
+		) {
 			log.error(
-				'Core analyzeTaskComplexity function did not return a valid report object.'
+				'Core analysis function returned an invalid or undefined response.'
 			);
 			return {
 				success: false,
@@ -139,7 +145,10 @@ export async function analyzeTaskComplexityDirect(args, log, context = {}) {
 		}
 
 		try {
-			const analysisArray = report.complexityAnalysis; // Already an array
+			// Ensure complexityAnalysis exists and is an array
+			const analysisArray = Array.isArray(coreResult.report.complexityAnalysis)
+				? coreResult.report.complexityAnalysis
+				: [];
 
 			// Count tasks by complexity (remains the same)
 			const highComplexityTasks = analysisArray.filter(
@@ -155,16 +164,16 @@ export async function analyzeTaskComplexityDirect(args, log, context = {}) {
 			return {
 				success: true,
 				data: {
-					message: `Task complexity analysis complete. Report saved to ${resolvedOutputPath}`,
-					reportPath: resolvedOutputPath,
+					message: `Task complexity analysis complete. Report saved to ${outputPath}`,
+					reportPath: outputPath,
 					reportSummary: {
 						taskCount: analysisArray.length,
 						highComplexityTasks,
 						mediumComplexityTasks,
 						lowComplexityTasks
-					}
-					// Include the full report data if needed by the client
-					// fullReport: report
+					},
+					fullReport: coreResult.report,
+					telemetryData: coreResult.telemetryData
 				}
 			};
 		} catch (parseError) {

mcp-server/src/core/direct-functions/complexity-report.js

@@ -8,7 +8,6 @@ import {
 	enableSilentMode,
 	disableSilentMode
 } from '../../../../scripts/modules/utils.js';
-import { getCachedOrExecute } from '../../tools/utils.js';
 
 /**
  * Direct function wrapper for displaying the complexity report with error handling and caching.
@@ -86,30 +85,20 @@ export async function complexityReportDirect(args, log) {
 
 		// Use the caching utility
 		try {
-			const result = await getCachedOrExecute({
-				cacheKey,
-				actionFn: coreActionFn,
-				log
-			});
-			log.info(
-				`complexityReportDirect completed. From cache: ${result.fromCache}`
-			);
-			return result; // Returns { success, data/error, fromCache }
+			const result = await coreActionFn();
+			log.info('complexityReportDirect completed');
+			return result;
 		} catch (error) {
-			// Catch unexpected errors from getCachedOrExecute itself
 			// Ensure silent mode is disabled
 			disableSilentMode();
 
-			log.error(
-				`Unexpected error during getCachedOrExecute for complexityReport: ${error.message}`
-			);
+			log.error(`Unexpected error during complexityReport: ${error.message}`);
 			return {
 				success: false,
 				error: {
 					code: 'UNEXPECTED_ERROR',
 					message: error.message
-				},
-				fromCache: false
+				}
 			};
 		}
 	} catch (error) {

mcp-server/src/core/direct-functions/expand-all-tasks.js

@@ -17,14 +17,15 @@ import { createLogWrapper } from '../../tools/utils.js';
  * @param {boolean} [args.research] - Enable research-backed subtask generation
  * @param {string} [args.prompt] - Additional context to guide subtask generation
  * @param {boolean} [args.force] - Force regeneration of subtasks for tasks that already have them
+ * @param {string} [args.projectRoot] - Project root path.
  * @param {Object} log - Logger object from FastMCP
  * @param {Object} context - Context object containing session
  * @returns {Promise<{success: boolean, data?: Object, error?: {code: string, message: string}}>}
  */
 export async function expandAllTasksDirect(args, log, context = {}) {
 	const { session } = context; // Extract session
-	// Destructure expected args
-	const { tasksJsonPath, num, research, prompt, force } = args;
+	// Destructure expected args, including projectRoot
+	const { tasksJsonPath, num, research, prompt, force, projectRoot } = args;
 
 	// Create logger wrapper using the utility
 	const mcpLog = createLogWrapper(log);
@@ -43,7 +44,7 @@ export async function expandAllTasksDirect(args, log, context = {}) {
 	enableSilentMode(); // Enable silent mode for the core function call
 	try {
 		log.info(
-			`Calling core expandAllTasks with args: ${JSON.stringify({ num, research, prompt, force })}`
+			`Calling core expandAllTasks with args: ${JSON.stringify({ num, research, prompt, force, projectRoot })}`
 		);
 
 		// Parse parameters (ensure correct types)
@@ -52,22 +53,28 @@ export async function expandAllTasksDirect(args, log, context = {}) {
 		const additionalContext = prompt || '';
 		const forceFlag = force === true;
 
-		// Call the core function, passing options and the context object { session, mcpLog }
+		// Call the core function, passing options and the context object { session, mcpLog, projectRoot }
 		const result = await expandAllTasks(
 			tasksJsonPath,
 			numSubtasks,
 			useResearch,
 			additionalContext,
 			forceFlag,
-			{ session, mcpLog }
+			{ session, mcpLog, projectRoot }
 		);
 
-		// Core function now returns a summary object
+		// Core function now returns a summary object including the *aggregated* telemetryData
 		return {
 			success: true,
 			data: {
 				message: `Expand all operation completed. Expanded: ${result.expandedCount}, Failed: ${result.failedCount}, Skipped: ${result.skippedCount}`,
-				details: result // Include the full result details
+				details: {
+					expandedCount: result.expandedCount,
+					failedCount: result.failedCount,
+					skippedCount: result.skippedCount,
+					tasksToExpand: result.tasksToExpand
+				},
+				telemetryData: result.telemetryData // Pass the aggregated object
 			}
 		};
 	} catch (error) {

mcp-server/src/core/direct-functions/expand-task.js

@@ -25,6 +25,7 @@ import { createLogWrapper } from '../../tools/utils.js';
  * @param {boolean} [args.research] - Enable research role for subtask generation.
  * @param {string} [args.prompt] - Additional context to guide subtask generation.
  * @param {boolean} [args.force] - Force expansion even if subtasks exist.
+ * @param {string} [args.projectRoot] - Project root directory.
  * @param {Object} log - Logger object
  * @param {Object} context - Context object containing session
  * @param {Object} [context.session] - MCP Session object
@@ -32,8 +33,8 @@ import { createLogWrapper } from '../../tools/utils.js';
  */
 export async function expandTaskDirect(args, log, context = {}) {
 	const { session } = context; // Extract session
-	// Destructure expected args
-	const { tasksJsonPath, id, num, research, prompt, force } = args;
+	// Destructure expected args, including projectRoot
+	const { tasksJsonPath, id, num, research, prompt, force, projectRoot } = args;
 
 	// Log session root data for debugging
 	log.info(
@@ -184,20 +185,28 @@ export async function expandTaskDirect(args, log, context = {}) {
 		// Create logger wrapper using the utility
 		const mcpLog = createLogWrapper(log);
 
+		let wasSilent; // Declare wasSilent outside the try block
 		// Process the request
 		try {
 			// Enable silent mode to prevent console logs from interfering with JSON response
-			const wasSilent = isSilentMode();
+			wasSilent = isSilentMode(); // Assign inside the try block
 			if (!wasSilent) enableSilentMode();
 
-			// Call the core expandTask function with the wrapped logger
-			const result = await expandTask(
+			// Call the core expandTask function with the wrapped logger and projectRoot
+			const coreResult = await expandTask(
 				tasksPath,
 				taskId,
 				numSubtasks,
 				useResearch,
 				additionalContext,
-				{ mcpLog, session }
+				{
+					mcpLog,
+					session,
+					projectRoot,
+					commandName: 'expand-task',
+					outputType: 'mcp'
+				},
+				forceFlag
 			);
 
 			// Restore normal logging
@@ -212,16 +221,17 @@ export async function expandTaskDirect(args, log, context = {}) {
 				? updatedTask.subtasks.length - subtasksCountBefore
 				: 0;
 
-			// Return the result
+			// Return the result, including telemetryData
 			log.info(
 				`Successfully expanded task ${taskId} with ${subtasksAdded} new subtasks`
 			);
 			return {
 				success: true,
 				data: {
-					task: updatedTask,
+					task: coreResult.task,
 					subtasksAdded,
-					hasExistingSubtasks
+					hasExistingSubtasks,
+					telemetryData: coreResult.telemetryData
 				},
 				fromCache: false
 			};

mcp-server/src/core/direct-functions/initialize-project.js

@@ -4,7 +4,6 @@ import {
 	disableSilentMode
 	// isSilentMode // Not used directly here
 } from '../../../../scripts/modules/utils.js';
-import { getProjectRootFromSession } from '../../tools/utils.js'; // Adjust path if necessary
 import os from 'os'; // Import os module for home directory check
 
 /**
@@ -16,60 +15,32 @@ import os from 'os'; // Import os module for home directory check
  * @returns {Promise<{success: boolean, data?: any, error?: {code: string, message: string}}>} - Standard result object.
  */
 export async function initializeProjectDirect(args, log, context = {}) {
-	const { session } = context;
+	const { session } = context; // Keep session if core logic needs it
 	const homeDir = os.homedir();
-	let targetDirectory = null;
 
-	log.info(
-		`CONTEXT received in direct function: ${context ? JSON.stringify(Object.keys(context)) : 'MISSING or Falsy'}`
-	);
-	log.info(
-		`SESSION extracted in direct function: ${session ? 'Exists' : 'MISSING or Falsy'}`
-	);
 	log.info(`Args received in direct function: ${JSON.stringify(args)}`);
 
 	// --- Determine Target Directory ---
-	// 1. Prioritize projectRoot passed directly in args
-	// Ensure it's not null, '/', or the home directory
-	if (
-		args.projectRoot &&
-		args.projectRoot !== '/' &&
-		args.projectRoot !== homeDir
-	) {
-		log.info(`Using projectRoot directly from args: ${args.projectRoot}`);
-		targetDirectory = args.projectRoot;
-	} else {
-		// 2. If args.projectRoot is missing or invalid, THEN try session (as a fallback)
-		log.warn(
-			`args.projectRoot ('${args.projectRoot}') is missing or invalid. Attempting to derive from session.`
-		);
-		const sessionDerivedPath = getProjectRootFromSession(session, log);
-		// Validate the session-derived path as well
-		if (
-			sessionDerivedPath &&
-			sessionDerivedPath !== '/' &&
-			sessionDerivedPath !== homeDir
-		) {
-			log.info(
-				`Using project root derived from session: ${sessionDerivedPath}`
-			);
-			targetDirectory = sessionDerivedPath;
-		} else {
-			log.error(
-				`Could not determine a valid project root. args.projectRoot='${args.projectRoot}', sessionDerivedPath='${sessionDerivedPath}'`
-			);
-		}
-	}
+	// TRUST the projectRoot passed from the tool layer via args
+	// The HOF in the tool layer already normalized and validated it came from a reliable source (args or session)
+	const targetDirectory = args.projectRoot;
 
-	// 3. Validate the final targetDirectory
-	if (!targetDirectory) {
-		// This error now covers cases where neither args.projectRoot nor session provided a valid path
+	// --- Validate the targetDirectory (basic sanity checks) ---
+	if (
+		!targetDirectory ||
+		typeof targetDirectory !== 'string' || // Ensure it's a string
+		targetDirectory === '/' ||
+		targetDirectory === homeDir
+	) {
+		log.error(
+			`Invalid target directory received from tool layer: '${targetDirectory}'`
+		);
 		return {
 			success: false,
 			error: {
 				code: 'INVALID_TARGET_DIRECTORY',
-				message: `Cannot initialize project: Could not determine a valid target directory. Please ensure a workspace/folder is open or specify projectRoot.`,
-				details: `Attempted args.projectRoot: ${args.projectRoot}`
+				message: `Cannot initialize project: Invalid target directory '${targetDirectory}' received. Please ensure a valid workspace/folder is open or specified.`,
+				details: `Received args.projectRoot: ${args.projectRoot}` // Show what was received
 			},
 			fromCache: false
 		};
@@ -86,11 +57,12 @@ export async function initializeProjectDirect(args, log, context = {}) {
 	log.info(
 		`Temporarily changing CWD to ${targetDirectory} for initialization.`
 	);
-	process.chdir(targetDirectory); // Change CWD to the *validated* targetDirectory
+	process.chdir(targetDirectory); // Change CWD to the HOF-provided root
 
-	enableSilentMode(); // Enable silent mode BEFORE calling the core function
+	enableSilentMode();
 	try {
-		// Always force yes: true when called via MCP to avoid interactive prompts
+		// Construct options ONLY from the relevant flags in args
+		// The core initializeProject operates in the current CWD, which we just set
 		const options = {
 			aliases: args.addAliases,
 			skipInstall: args.skipInstall,
@@ -100,12 +72,11 @@ export async function initializeProjectDirect(args, log, context = {}) {
 		log.info(`Initializing project with options: ${JSON.stringify(options)}`);
 		const result = await initializeProject(options); // Call core logic
 
-		// Format success result for handleApiResult
 		resultData = {
 			message: 'Project initialized successfully.',
 			next_step:
 				'Now that the project is initialized, the next step is to create the tasks by parsing a PRD. This will create the tasks folder and the initial task files (tasks folder will be created when parse-prd is run). The parse-prd tool will require a prd.txt file as input (typically found in the project root directory, scripts/ directory). You can create a prd.txt file by asking the user about their idea, and then using the scripts/example_prd.txt file as a template to genrate a prd.txt file in scripts/. You may skip all of this if the user already has a prd.txt file. You can THEN use the parse-prd tool to create the tasks. So: step 1 after initialization is to create a prd.txt file in scripts/prd.txt or confirm the user already has one. Step 2 is to use the parse-prd tool to create the tasks. Do not bother looking for tasks after initialization, just use the parse-prd tool to create the tasks after creating a prd.txt from which to parse the tasks. You do NOT need to reinitialize the project to parse-prd.',
-			...result // Include details returned by initializeProject
+			...result
 		};
 		success = true;
 		log.info(
@@ -120,12 +91,11 @@ export async function initializeProjectDirect(args, log, context = {}) {
 		};
 		success = false;
 	} finally {
-		disableSilentMode(); // ALWAYS disable silent mode in finally
+		disableSilentMode();
 		log.info(`Restoring original CWD: ${originalCwd}`);
-		process.chdir(originalCwd); // Change back to original CWD
+		process.chdir(originalCwd);
 	}
 
-	// Return in format expected by handleApiResult
 	if (success) {
 		return { success: true, data: resultData, fromCache: false };
 	} else {

mcp-server/src/core/direct-functions/list-tasks.js

@@ -4,7 +4,6 @@
  */
 
 import { listTasks } from '../../../../scripts/modules/task-manager.js';
-import { getCachedOrExecute } from '../../tools/utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
@@ -19,7 +18,7 @@ import {
  */
 export async function listTasksDirect(args, log) {
 	// Destructure the explicit tasksJsonPath from args
-	const { tasksJsonPath, status, withSubtasks } = args;
+	const { tasksJsonPath, reportPath, status, withSubtasks } = args;
 
 	if (!tasksJsonPath) {
 		log.error('listTasksDirect called without tasksJsonPath');
@@ -36,7 +35,6 @@ export async function listTasksDirect(args, log) {
 	// Use the explicit tasksJsonPath for cache key
 	const statusFilter = status || 'all';
 	const withSubtasksFilter = withSubtasks || false;
-	const cacheKey = `listTasks:${tasksJsonPath}:${statusFilter}:${withSubtasksFilter}`;
 
 	// Define the action function to be executed on cache miss
 	const coreListTasksAction = async () => {
@@ -51,6 +49,7 @@ export async function listTasksDirect(args, log) {
 			const resultData = listTasks(
 				tasksJsonPath,
 				statusFilter,
+				reportPath,
 				withSubtasksFilter,
 				'json'
 			);
@@ -65,6 +64,7 @@ export async function listTasksDirect(args, log) {
 					}
 				};
 			}
+
 			log.info(
 				`Core listTasks function retrieved ${resultData.tasks.length} tasks`
 			);
@@ -88,25 +88,19 @@ export async function listTasksDirect(args, log) {
 		}
 	};
 
-	// Use the caching utility
 	try {
-		const result = await getCachedOrExecute({
-			cacheKey,
-			actionFn: coreListTasksAction,
-			log
-		});
-		log.info(`listTasksDirect completed. From cache: ${result.fromCache}`);
-		return result; // Returns { success, data/error, fromCache }
+		const result = await coreListTasksAction();
+		log.info('listTasksDirect completed');
+		return result;
 	} catch (error) {
-		// Catch unexpected errors from getCachedOrExecute itself (though unlikely)
-		log.error(
-			`Unexpected error during getCachedOrExecute for listTasks: ${error.message}`
-		);
+		log.error(`Unexpected error during listTasks: ${error.message}`);
 		console.error(error.stack);
 		return {
 			success: false,
-			error: { code: 'CACHE_UTIL_ERROR', message: error.message },
-			fromCache: false
+			error: {
+				code: 'UNEXPECTED_ERROR',
+				message: error.message
+			}
 		};
 	}
 }

mcp-server/src/core/direct-functions/next-task.js

@@ -4,8 +4,10 @@
  */
 
 import { findNextTask } from '../../../../scripts/modules/task-manager.js';
-import { readJSON } from '../../../../scripts/modules/utils.js';
-import { getCachedOrExecute } from '../../tools/utils.js';
+import {
+	readJSON,
+	readComplexityReport
+} from '../../../../scripts/modules/utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
@@ -21,7 +23,7 @@ import {
  */
 export async function nextTaskDirect(args, log) {
 	// Destructure expected args
-	const { tasksJsonPath } = args;
+	const { tasksJsonPath, reportPath } = args;
 
 	if (!tasksJsonPath) {
 		log.error('nextTaskDirect called without tasksJsonPath');
@@ -35,9 +37,6 @@ export async function nextTaskDirect(args, log) {
 		};
 	}
 
-	// Generate cache key using the provided task path
-	const cacheKey = `nextTask:${tasksJsonPath}`;
-
 	// Define the action function to be executed on cache miss
 	const coreNextTaskAction = async () => {
 		try {
@@ -59,8 +58,11 @@ export async function nextTaskDirect(args, log) {
 				};
 			}
 
+			// Read the complexity report
+			const complexityReport = readComplexityReport(reportPath);
+
 			// Find the next task
-			const nextTask = findNextTask(data.tasks);
+			const nextTask = findNextTask(data.tasks, complexityReport);
 
 			if (!nextTask) {
 				log.info(
@@ -71,24 +73,34 @@ export async function nextTaskDirect(args, log) {
 					data: {
 						message:
 							'No eligible next task found. All tasks are either completed or have unsatisfied dependencies',
-						nextTask: null,
-						allTasks: data.tasks
+						nextTask: null
 					}
 				};
 			}
 
+			// Check if it's a subtask
+			const isSubtask =
+				typeof nextTask.id === 'string' && nextTask.id.includes('.');
+
+			const taskOrSubtask = isSubtask ? 'subtask' : 'task';
+
+			const additionalAdvice = isSubtask
+				? 'Subtasks can be updated with timestamped details as you implement them. This is useful for tracking progress, marking milestones and insights (of successful or successive falures in attempting to implement the subtask). Research can be used when updating the subtask to collect up-to-date information, and can be helpful to solve a repeating problem the agent is unable to solve. It is a good idea to get-task the parent task to collect the overall context of the task, and to get-task the subtask to collect the specific details of the subtask.'
+				: 'Tasks can be updated to reflect a change in the direction of the task, or to reformulate the task per your prompt. Research can be used when updating the task to collect up-to-date information. It is best to update subtasks as you work on them, and to update the task for more high-level changes that may affect pending subtasks or the general direction of the task.';
+
 			// Restore normal logging
 			disableSilentMode();
 
 			// Return the next task data with the full tasks array for reference
 			log.info(
-				`Successfully found next task ${nextTask.id}: ${nextTask.title}`
+				`Successfully found next task ${nextTask.id}: ${nextTask.title}. Is subtask: ${isSubtask}`
 			);
 			return {
 				success: true,
 				data: {
 					nextTask,
-					allTasks: data.tasks
+					isSubtask,
+					nextSteps: `When ready to work on the ${taskOrSubtask}, use set-status to set the status to "in progress" ${additionalAdvice}`
 				}
 			};
 		} catch (error) {
@@ -108,18 +120,11 @@ export async function nextTaskDirect(args, log) {
 
 	// Use the caching utility
 	try {
-		const result = await getCachedOrExecute({
-			cacheKey,
-			actionFn: coreNextTaskAction,
-			log
-		});
-		log.info(`nextTaskDirect completed. From cache: ${result.fromCache}`);
-		return result; // Returns { success, data/error, fromCache }
+		const result = await coreNextTaskAction();
+		log.info(`nextTaskDirect completed.`);
+		return result;
 	} catch (error) {
-		// Catch unexpected errors from getCachedOrExecute itself
-		log.error(
-			`Unexpected error during getCachedOrExecute for nextTask: ${error.message}`
-		);
+		log.error(`Unexpected error during nextTask: ${error.message}`);
 		return {
 			success: false,
 			error: {

mcp-server/src/core/direct-functions/parse-prd.js

@@ -8,9 +8,11 @@ import fs from 'fs';
 import { parsePRD } from '../../../../scripts/modules/task-manager.js';
 import {
 	enableSilentMode,
-	disableSilentMode
+	disableSilentMode,
+	isSilentMode
 } from '../../../../scripts/modules/utils.js';
 import { createLogWrapper } from '../../tools/utils.js';
+import { getDefaultNumTasks } from '../../../../scripts/modules/config-manager.js';
 
 /**
  * Direct function wrapper for parsing PRD documents and generating tasks.
@@ -21,177 +23,163 @@ import { createLogWrapper } from '../../tools/utils.js';
  * @returns {Promise<Object>} - Result object with success status and data/error information.
  */
 export async function parsePRDDirect(args, log, context = {}) {
-	const { session } = context; // Only extract session
+	const { session } = context;
+	// Extract projectRoot from args
+	const {
+		input: inputArg,
+		output: outputArg,
+		numTasks: numTasksArg,
+		force,
+		append,
+		projectRoot
+	} = args;
 
-	try {
-		log.info(`Parsing PRD document with args: ${JSON.stringify(args)}`);
+	// Create the standard logger wrapper
+	const logWrapper = createLogWrapper(log);
 
-		// Validate required parameters
-		if (!args.projectRoot) {
-			const errorMessage = 'Project root is required for parsePRDDirect';
-			log.error(errorMessage);
-			return {
-				success: false,
-				error: { code: 'MISSING_PROJECT_ROOT', message: errorMessage },
-				fromCache: false
-			};
-		}
-		if (!args.input) {
-			const errorMessage = 'Input file path is required for parsePRDDirect';
-			log.error(errorMessage);
-			return {
-				success: false,
-				error: { code: 'MISSING_INPUT_PATH', message: errorMessage },
-				fromCache: false
-			};
-		}
-		if (!args.output) {
-			const errorMessage = 'Output file path is required for parsePRDDirect';
-			log.error(errorMessage);
-			return {
-				success: false,
-				error: { code: 'MISSING_OUTPUT_PATH', message: errorMessage },
-				fromCache: false
-			};
-		}
-
-		// Resolve input path (expecting absolute path or path relative to project root)
-		const projectRoot = args.projectRoot;
-		const inputPath = path.isAbsolute(args.input)
-			? args.input
-			: path.resolve(projectRoot, args.input);
-
-		// Verify input file exists
-		if (!fs.existsSync(inputPath)) {
-			const errorMessage = `Input file not found: ${inputPath}`;
-			log.error(errorMessage);
-			return {
-				success: false,
-				error: {
-					code: 'INPUT_FILE_NOT_FOUND',
-					message: errorMessage,
-					details: `Checked path: ${inputPath}\nProject root: ${projectRoot}\nInput argument: ${args.input}`
-				},
-				fromCache: false
-			};
-		}
-
-		// Resolve output path (expecting absolute path or path relative to project root)
-		const outputPath = path.isAbsolute(args.output)
-			? args.output
-			: path.resolve(projectRoot, args.output);
-
-		// Ensure output directory exists
-		const outputDir = path.dirname(outputPath);
-		if (!fs.existsSync(outputDir)) {
-			log.info(`Creating output directory: ${outputDir}`);
-			fs.mkdirSync(outputDir, { recursive: true });
-		}
-
-		// Parse number of tasks - handle both string and number values
-		let numTasks = 10; // Default
-		if (args.numTasks) {
-			numTasks =
-				typeof args.numTasks === 'string'
-					? parseInt(args.numTasks, 10)
-					: args.numTasks;
-			if (isNaN(numTasks)) {
-				numTasks = 10; // Fallback to default if parsing fails
-				log.warn(`Invalid numTasks value: ${args.numTasks}. Using default: 10`);
-			}
-		}
-
-		// Extract the append flag from args
-		const append = Boolean(args.append) === true;
-
-		// Log key parameters including append flag
-		log.info(
-			`Preparing to parse PRD from ${inputPath} and output to ${outputPath} with ${numTasks} tasks, append mode: ${append}`
-		);
-
-		// --- Logger Wrapper ---
-		const mcpLog = createLogWrapper(log);
-
-		// Prepare options for the core function
-		const options = {
-			mcpLog,
-			session
-		};
-
-		// Enable silent mode to prevent console logs from interfering with JSON response
-		enableSilentMode();
-		try {
-			// Make sure the output directory exists
-			const outputDir = path.dirname(outputPath);
-			if (!fs.existsSync(outputDir)) {
-				log.info(`Creating output directory: ${outputDir}`);
-				fs.mkdirSync(outputDir, { recursive: true });
-			}
-
-			// Execute core parsePRD function with AI client
-			const tasksDataResult = await parsePRD(
-				inputPath,
-				outputPath,
-				numTasks,
-				{
-					mcpLog: logWrapper,
-					session,
-					append
-				},
-				aiClient,
-				modelConfig
-			);
-
-			// Since parsePRD doesn't return a value but writes to a file, we'll read the result
-			// to return it to the caller
-			if (fs.existsSync(outputPath)) {
-				const tasksData = JSON.parse(fs.readFileSync(outputPath, 'utf8'));
-				const actionVerb = append ? 'appended' : 'generated';
-				const message = `Successfully ${actionVerb} ${tasksData.tasks?.length || 0} tasks from PRD`;
-
-				if (!tasksDataResult || !tasksDataResult.tasks || !tasksData) {
-					throw new Error(
-						'Core parsePRD function did not return valid task data.'
-					);
-				}
-
-				log.info(message);
-
-				return {
-					success: true,
-					data: {
-						message,
-						taskCount: tasksDataResult.tasks?.length || 0,
-						outputPath,
-						appended: append
-					},
-					fromCache: false // This operation always modifies state and should never be cached
-				};
-			} else {
-				const errorMessage = `Tasks file was not created at ${outputPath}`;
-				log.error(errorMessage);
-				return {
-					success: false,
-					error: { code: 'OUTPUT_FILE_NOT_CREATED', message: errorMessage },
-					fromCache: false
-				};
-			}
-		} finally {
-			// Always restore normal logging
-			disableSilentMode();
-		}
-	} catch (error) {
-		// Make sure to restore normal logging even if there's an error
-		disableSilentMode();
-
-		log.error(`Error parsing PRD: ${error.message}`);
+	// --- Input Validation and Path Resolution ---
+	if (!projectRoot) {
+		logWrapper.error('parsePRDDirect requires a projectRoot argument.');
 		return {
 			success: false,
 			error: {
-				code: error.code || 'PARSE_PRD_ERROR', // Use error code if available
-				message: error.message || 'Unknown error parsing PRD'
-			},
-			fromCache: false
+				code: 'MISSING_ARGUMENT',
+				message: 'projectRoot is required.'
+			}
 		};
 	}
+	if (!inputArg) {
+		logWrapper.error('parsePRDDirect called without input path');
+		return {
+			success: false,
+			error: { code: 'MISSING_ARGUMENT', message: 'Input path is required' }
+		};
+	}
+
+	// Resolve input and output paths relative to projectRoot
+	const inputPath = path.resolve(projectRoot, inputArg);
+	const outputPath = outputArg
+		? path.resolve(projectRoot, outputArg)
+		: path.resolve(projectRoot, 'tasks', 'tasks.json'); // Default output path
+
+	// Check if input file exists
+	if (!fs.existsSync(inputPath)) {
+		const errorMsg = `Input PRD file not found at resolved path: ${inputPath}`;
+		logWrapper.error(errorMsg);
+		return {
+			success: false,
+			error: { code: 'FILE_NOT_FOUND', message: errorMsg }
+		};
+	}
+
+	const outputDir = path.dirname(outputPath);
+	try {
+		if (!fs.existsSync(outputDir)) {
+			logWrapper.info(`Creating output directory: ${outputDir}`);
+			fs.mkdirSync(outputDir, { recursive: true });
+		}
+	} catch (dirError) {
+		logWrapper.error(
+			`Failed to create output directory ${outputDir}: ${dirError.message}`
+		);
+		// Return an error response immediately if dir creation fails
+		return {
+			success: false,
+			error: {
+				code: 'DIRECTORY_CREATION_ERROR',
+				message: `Failed to create output directory: ${dirError.message}`
+			}
+		};
+	}
+
+	let numTasks = getDefaultNumTasks(projectRoot);
+	if (numTasksArg) {
+		numTasks =
+			typeof numTasksArg === 'string' ? parseInt(numTasksArg, 10) : numTasksArg;
+		if (isNaN(numTasks) || numTasks <= 0) {
+			// Ensure positive number
+			numTasks = getDefaultNumTasks(projectRoot); // Fallback to default if parsing fails or invalid
+			logWrapper.warn(
+				`Invalid numTasks value: ${numTasksArg}. Using default: ${numTasks}`
+			);
+		}
+	}
+
+	if (append) {
+		logWrapper.info('Append mode enabled.');
+		if (force) {
+			logWrapper.warn(
+				'Both --force and --append flags were provided. --force takes precedence; append mode will be ignored.'
+			);
+		}
+	}
+
+	logWrapper.info(
+		`Parsing PRD via direct function. Input: ${inputPath}, Output: ${outputPath}, NumTasks: ${numTasks}, Force: ${force}, Append: ${append}, ProjectRoot: ${projectRoot}`
+	);
+
+	const wasSilent = isSilentMode();
+	if (!wasSilent) {
+		enableSilentMode();
+	}
+
+	try {
+		// Call the core parsePRD function
+		const result = await parsePRD(
+			inputPath,
+			outputPath,
+			numTasks,
+			{
+				session,
+				mcpLog: logWrapper,
+				projectRoot,
+				force,
+				append,
+				commandName: 'parse-prd',
+				outputType: 'mcp'
+			},
+			'json'
+		);
+
+		// Adjust check for the new return structure
+		if (result && result.success) {
+			const successMsg = `Successfully parsed PRD and generated tasks in ${result.tasksPath}`;
+			logWrapper.success(successMsg);
+			return {
+				success: true,
+				data: {
+					message: successMsg,
+					outputPath: result.tasksPath,
+					telemetryData: result.telemetryData
+				}
+			};
+		} else {
+			// Handle case where core function didn't return expected success structure
+			logWrapper.error(
+				'Core parsePRD function did not return a successful structure.'
+			);
+			return {
+				success: false,
+				error: {
+					code: 'CORE_FUNCTION_ERROR',
+					message:
+						result?.message ||
+						'Core function failed to parse PRD or returned unexpected result.'
+				}
+			};
+		}
+	} catch (error) {
+		logWrapper.error(`Error executing core parsePRD: ${error.message}`);
+		return {
+			success: false,
+			error: {
+				code: 'PARSE_PRD_CORE_ERROR',
+				message: error.message || 'Unknown error parsing PRD'
+			}
+		};
+	} finally {
+		if (!wasSilent && isSilentMode()) {
+			disableSilentMode();
+		}
+	}
 }

mcp-server/src/core/direct-functions/show-task.js

@@ -3,151 +3,103 @@
  * Direct function implementation for showing task details
  */
 
-import { findTaskById } from '../../../../scripts/modules/utils.js';
-import { readJSON } from '../../../../scripts/modules/utils.js';
-import { getCachedOrExecute } from '../../tools/utils.js';
 import {
-	enableSilentMode,
-	disableSilentMode
+	findTaskById,
+	readComplexityReport,
+	readJSON
 } from '../../../../scripts/modules/utils.js';
+import { findTasksJsonPath } from '../utils/path-utils.js';
 
 /**
- * Direct function wrapper for showing task details with error handling and caching.
+ * Direct function wrapper for getting task details.
  *
- * @param {Object} args - Command arguments
- * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
- * @param {string} args.id - The ID of the task or subtask to show.
+ * @param {Object} args - Command arguments.
+ * @param {string} args.id - Task ID to show.
+ * @param {string} [args.file] - Optional path to the tasks file (passed to findTasksJsonPath).
+ * @param {string} args.reportPath - Explicit path to the complexity report file.
  * @param {string} [args.status] - Optional status to filter subtasks by.
- * @param {Object} log - Logger object
- * @returns {Promise<Object>} - Task details result { success: boolean, data?: any, error?: { code: string, message: string }, fromCache: boolean }
+ * @param {string} args.projectRoot - Absolute path to the project root directory (already normalized by tool).
+ * @param {Object} log - Logger object.
+ * @param {Object} context - Context object containing session data.
+ * @returns {Promise<Object>} - Result object with success status and data/error information.
  */
 export async function showTaskDirect(args, log) {
-	// Destructure expected args
-	const { tasksJsonPath, id, status } = args;
+	// Destructure session from context if needed later, otherwise ignore
+	// const { session } = context;
+	// Destructure projectRoot and other args. projectRoot is assumed normalized.
+	const { id, file, reportPath, status, projectRoot } = args;
 
-	if (!tasksJsonPath) {
-		log.error('showTaskDirect called without tasksJsonPath');
+	log.info(
+		`Showing task direct function. ID: ${id}, File: ${file}, Status Filter: ${status}, ProjectRoot: ${projectRoot}`
+	);
+
+	// --- Path Resolution using the passed (already normalized) projectRoot ---
+	let tasksJsonPath;
+	try {
+		// Use the projectRoot passed directly from args
+		tasksJsonPath = findTasksJsonPath(
+			{ projectRoot: projectRoot, file: file },
+			log
+		);
+		log.info(`Resolved tasks path: ${tasksJsonPath}`);
+	} catch (error) {
+		log.error(`Error finding tasks.json: ${error.message}`);
 		return {
 			success: false,
 			error: {
-				code: 'MISSING_ARGUMENT',
-				message: 'tasksJsonPath is required'
-			},
-			fromCache: false
+				code: 'TASKS_FILE_NOT_FOUND',
+				message: `Failed to find tasks.json: ${error.message}`
+			}
 		};
 	}
+	// --- End Path Resolution ---
 
-	// Validate task ID
-	const taskId = id;
-	if (!taskId) {
-		log.error('Task ID is required');
-		return {
-			success: false,
-			error: {
-				code: 'INPUT_VALIDATION_ERROR',
-				message: 'Task ID is required'
-			},
-			fromCache: false
-		};
-	}
-
-	// Generate cache key using the provided task path, ID, and status filter
-	const cacheKey = `showTask:${tasksJsonPath}:${taskId}:${status || 'all'}`;
-
-	// Define the action function to be executed on cache miss
-	const coreShowTaskAction = async () => {
-		try {
-			// Enable silent mode to prevent console logs from interfering with JSON response
-			enableSilentMode();
-
-			log.info(
-				`Retrieving task details for ID: ${taskId} from ${tasksJsonPath}${status ? ` (filtering by status: ${status})` : ''}`
-			);
-
-			// Read tasks data using the provided path
-			const data = readJSON(tasksJsonPath);
-			if (!data || !data.tasks) {
-				disableSilentMode(); // Disable before returning
-				return {
-					success: false,
-					error: {
-						code: 'INVALID_TASKS_FILE',
-						message: `No valid tasks found in ${tasksJsonPath}`
-					}
-				};
-			}
-
-			// Find the specific task, passing the status filter
-			const { task, originalSubtaskCount } = findTaskById(
-				data.tasks,
-				taskId,
-				status
-			);
-
-			if (!task) {
-				disableSilentMode(); // Disable before returning
-				return {
-					success: false,
-					error: {
-						code: 'TASK_NOT_FOUND',
-						message: `Task with ID ${taskId} not found${status ? ` or no subtasks match status '${status}'` : ''}`
-					}
-				};
-			}
-
-			// Restore normal logging
-			disableSilentMode();
-
-			// Return the task data, the original subtask count (if applicable),
-			// and the full tasks array for reference (needed for formatDependenciesWithStatus function in UI)
-			log.info(
-				`Successfully found task ${taskId}${status ? ` (with status filter: ${status})` : ''}`
-			);
+	// --- Rest of the function remains the same, using tasksJsonPath ---
+	try {
+		const tasksData = readJSON(tasksJsonPath);
+		if (!tasksData || !tasksData.tasks) {
 			return {
-				success: true,
-				data: {
-					task,
-					originalSubtaskCount,
-					allTasks: data.tasks
-				}
+				success: false,
+				error: { code: 'INVALID_TASKS_DATA', message: 'Invalid tasks data' }
 			};
-		} catch (error) {
-			// Make sure to restore normal logging even if there's an error
-			disableSilentMode();
+		}
 
-			log.error(`Error showing task: ${error.message}`);
+		const complexityReport = readComplexityReport(reportPath);
+
+		const { task, originalSubtaskCount } = findTaskById(
+			tasksData.tasks,
+			id,
+			complexityReport,
+			status
+		);
+
+		if (!task) {
 			return {
 				success: false,
 				error: {
-					code: 'CORE_FUNCTION_ERROR',
-					message: error.message || 'Failed to show task details'
+					code: 'TASK_NOT_FOUND',
+					message: `Task or subtask with ID ${id} not found`
 				}
 			};
 		}
-	};
 
-	// Use the caching utility
-	try {
-		const result = await getCachedOrExecute({
-			cacheKey,
-			actionFn: coreShowTaskAction,
-			log
-		});
-		log.info(`showTaskDirect completed. From cache: ${result.fromCache}`);
-		return result; // Returns { success, data/error, fromCache }
+		log.info(`Successfully retrieved task ${id}.`);
+
+		const returnData = { ...task };
+		if (originalSubtaskCount !== null) {
+			returnData._originalSubtaskCount = originalSubtaskCount;
+			returnData._subtaskFilter = status;
+		}
+
+		return { success: true, data: returnData };
 	} catch (error) {
-		// Catch unexpected errors from getCachedOrExecute itself
-		disableSilentMode();
-		log.error(
-			`Unexpected error during getCachedOrExecute for showTask: ${error.message}`
-		);
+		log.error(`Error showing task ${id}: ${error.message}`);
 		return {
 			success: false,
 			error: {
-				code: 'UNEXPECTED_ERROR',
+				code: 'TASK_OPERATION_ERROR',
 				message: error.message
-			},
-			fromCache: false
+			}
 		};
 	}
 }

mcp-server/src/core/direct-functions/update-subtask-by-id.js

@@ -6,29 +6,40 @@
 import { updateSubtaskById } from '../../../../scripts/modules/task-manager.js';
 import {
 	enableSilentMode,
-	disableSilentMode
+	disableSilentMode,
+	isSilentMode
 } from '../../../../scripts/modules/utils.js';
 import { createLogWrapper } from '../../tools/utils.js';
 
 /**
  * Direct function wrapper for updateSubtaskById with error handling.
  *
- * @param {Object} args - Command arguments containing id, prompt, useResearch and tasksJsonPath.
+ * @param {Object} args - Command arguments containing id, prompt, useResearch, tasksJsonPath, and projectRoot.
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
+ * @param {string} args.id - Subtask ID in format "parent.sub".
+ * @param {string} args.prompt - Information to append to the subtask.
+ * @param {boolean} [args.research] - Whether to use research role.
+ * @param {string} [args.projectRoot] - Project root path.
  * @param {Object} log - Logger object.
  * @param {Object} context - Context object containing session data.
  * @returns {Promise<Object>} - Result object with success status and data/error information.
  */
 export async function updateSubtaskByIdDirect(args, log, context = {}) {
-	const { session } = context; // Only extract session, not reportProgress
-	const { tasksJsonPath, id, prompt, research } = args;
+	const { session } = context;
+	// Destructure expected args, including projectRoot
+	const { tasksJsonPath, id, prompt, research, projectRoot } = args;
+
+	const logWrapper = createLogWrapper(log);
 
 	try {
-		log.info(`Updating subtask with args: ${JSON.stringify(args)}`);
+		logWrapper.info(
+			`Updating subtask by ID via direct function. ID: ${id}, ProjectRoot: ${projectRoot}`
+		);
 
 		// Check if tasksJsonPath was provided
 		if (!tasksJsonPath) {
 			const errorMessage = 'tasksJsonPath is required but was not provided.';
-			log.error(errorMessage);
+			logWrapper.error(errorMessage);
 			return {
 				success: false,
 				error: { code: 'MISSING_ARGUMENT', message: errorMessage },
@@ -36,22 +47,22 @@ export async function updateSubtaskByIdDirect(args, log, context = {}) {
 			};
 		}
 
-		// Check required parameters (id and prompt)
-		if (!id) {
+		// Basic validation for ID format (e.g., '5.2')
+		if (!id || typeof id !== 'string' || !id.includes('.')) {
 			const errorMessage =
-				'No subtask ID specified. Please provide a subtask ID to update.';
-			log.error(errorMessage);
+				'Invalid subtask ID format. Must be in format "parentId.subtaskId" (e.g., "5.2").';
+			logWrapper.error(errorMessage);
 			return {
 				success: false,
-				error: { code: 'MISSING_SUBTASK_ID', message: errorMessage },
+				error: { code: 'INVALID_SUBTASK_ID', message: errorMessage },
 				fromCache: false
 			};
 		}
 
 		if (!prompt) {
 			const errorMessage =
-				'No prompt specified. Please provide a prompt with information to add to the subtask.';
-			log.error(errorMessage);
+				'No prompt specified. Please provide the information to append.';
+			logWrapper.error(errorMessage);
 			return {
 				success: false,
 				error: { code: 'MISSING_PROMPT', message: errorMessage },
@@ -84,78 +95,85 @@ export async function updateSubtaskByIdDirect(args, log, context = {}) {
 
 		// Use the provided path
 		const tasksPath = tasksJsonPath;
-
-		// Get research flag
 		const useResearch = research === true;
 
 		log.info(
 			`Updating subtask with ID ${subtaskIdStr} with prompt "${prompt}" and research: ${useResearch}`
 		);
 
-		try {
-			// Enable silent mode to prevent console logs from interfering with JSON response
+		const wasSilent = isSilentMode();
+		if (!wasSilent) {
 			enableSilentMode();
+		}
 
-			// Create the logger wrapper using the utility function
-			const mcpLog = createLogWrapper(log);
-
+		try {
 			// Execute core updateSubtaskById function
-			// Pass both session and logWrapper as mcpLog to ensure outputFormat is 'json'
-			const updatedSubtask = await updateSubtaskById(
+			const coreResult = await updateSubtaskById(
 				tasksPath,
 				subtaskIdStr,
 				prompt,
 				useResearch,
 				{
+					mcpLog: logWrapper,
 					session,
-					mcpLog
-				}
+					projectRoot,
+					commandName: 'update-subtask',
+					outputType: 'mcp'
+				},
+				'json'
 			);
 
-			// Restore normal logging
-			disableSilentMode();
-
-			// Handle the case where the subtask couldn't be updated (e.g., already marked as done)
-			if (!updatedSubtask) {
+			if (!coreResult || coreResult.updatedSubtask === null) {
+				const message = `Subtask ${id} or its parent task not found.`;
+				logWrapper.error(message);
 				return {
 					success: false,
-					error: {
-						code: 'SUBTASK_UPDATE_FAILED',
-						message:
-							'Failed to update subtask. It may be marked as completed, or another error occurred.'
-					},
+					error: { code: 'SUBTASK_NOT_FOUND', message: message },
 					fromCache: false
 				};
 			}
 
-			// Return the updated subtask information
+			// Subtask updated successfully
+			const successMessage = `Successfully updated subtask with ID ${subtaskIdStr}`;
+			logWrapper.success(successMessage);
 			return {
 				success: true,
 				data: {
 					message: `Successfully updated subtask with ID ${subtaskIdStr}`,
 					subtaskId: subtaskIdStr,
 					parentId: subtaskIdStr.split('.')[0],
-					subtask: updatedSubtask,
+					subtask: coreResult.updatedSubtask,
 					tasksPath,
-					useResearch
+					useResearch,
+					telemetryData: coreResult.telemetryData
 				},
-				fromCache: false // This operation always modifies state and should never be cached
+				fromCache: false
 			};
 		} catch (error) {
-			// Make sure to restore normal logging even if there's an error
-			disableSilentMode();
-			throw error; // Rethrow to be caught by outer catch block
+			logWrapper.error(`Error updating subtask by ID: ${error.message}`);
+			return {
+				success: false,
+				error: {
+					code: 'UPDATE_SUBTASK_CORE_ERROR',
+					message: error.message || 'Unknown error updating subtask'
+				},
+				fromCache: false
+			};
+		} finally {
+			if (!wasSilent && isSilentMode()) {
+				disableSilentMode();
+			}
 		}
 	} catch (error) {
-		// Ensure silent mode is disabled
-		disableSilentMode();
-
-		log.error(`Error updating subtask by ID: ${error.message}`);
+		logWrapper.error(
+			`Setup error in updateSubtaskByIdDirect: ${error.message}`
+		);
+		if (isSilentMode()) disableSilentMode();
 		return {
 			success: false,
 			error: {
-				code: 'UPDATE_SUBTASK_ERROR',
-				message: error.message || 'Unknown error updating subtask'
+				code: 'DIRECT_FUNCTION_SETUP_ERROR',
+				message: error.message || 'Unknown setup error'
 			},
 			fromCache: false
 		};

mcp-server/src/core/direct-functions/update-task-by-id.js

@@ -6,30 +6,40 @@
 import { updateTaskById } from '../../../../scripts/modules/task-manager.js';
 import {
 	enableSilentMode,
-	disableSilentMode
+	disableSilentMode,
+	isSilentMode
 } from '../../../../scripts/modules/utils.js';
 import { createLogWrapper } from '../../tools/utils.js';
 
 /**
  * Direct function wrapper for updateTaskById with error handling.
  *
- * @param {Object} args - Command arguments containing id, prompt, useResearch and tasksJsonPath.
+ * @param {Object} args - Command arguments containing id, prompt, useResearch, tasksJsonPath, and projectRoot.
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
+ * @param {string} args.id - Task ID (or subtask ID like "1.2").
+ * @param {string} args.prompt - New information/context prompt.
+ * @param {boolean} [args.research] - Whether to use research role.
+ * @param {string} [args.projectRoot] - Project root path.
  * @param {Object} log - Logger object.
  * @param {Object} context - Context object containing session data.
  * @returns {Promise<Object>} - Result object with success status and data/error information.
  */
 export async function updateTaskByIdDirect(args, log, context = {}) {
-	const { session } = context; // Only extract session, not reportProgress
-	// Destructure expected args, including the resolved tasksJsonPath
-	const { tasksJsonPath, id, prompt, research } = args;
+	const { session } = context;
+	// Destructure expected args, including projectRoot
+	const { tasksJsonPath, id, prompt, research, projectRoot } = args;
+
+	const logWrapper = createLogWrapper(log);
 
 	try {
-		log.info(`Updating task with args: ${JSON.stringify(args)}`);
+		logWrapper.info(
+			`Updating task by ID via direct function. ID: ${id}, ProjectRoot: ${projectRoot}`
+		);
 
 		// Check if tasksJsonPath was provided
 		if (!tasksJsonPath) {
 			const errorMessage = 'tasksJsonPath is required but was not provided.';
-			log.error(errorMessage);
+			logWrapper.error(errorMessage);
 			return {
 				success: false,
 				error: { code: 'MISSING_ARGUMENT', message: errorMessage },
@@ -41,7 +51,7 @@ export async function updateTaskByIdDirect(args, log, context = {}) {
 		if (!id) {
 			const errorMessage =
 				'No task ID specified. Please provide a task ID to update.';
-			log.error(errorMessage);
+			logWrapper.error(errorMessage);
 			return {
 				success: false,
 				error: { code: 'MISSING_TASK_ID', message: errorMessage },
@@ -52,7 +62,7 @@ export async function updateTaskByIdDirect(args, log, context = {}) {
 		if (!prompt) {
 			const errorMessage =
 				'No prompt specified. Please provide a prompt with new information for the task update.';
-			log.error(errorMessage);
+			logWrapper.error(errorMessage);
 			return {
 				success: false,
 				error: { code: 'MISSING_PROMPT', message: errorMessage },
@@ -71,7 +81,7 @@ export async function updateTaskByIdDirect(args, log, context = {}) {
 				taskId = parseInt(id, 10);
 				if (isNaN(taskId)) {
 					const errorMessage = `Invalid task ID: ${id}. Task ID must be a positive integer or subtask ID (e.g., "5.2").`;
-					log.error(errorMessage);
+					logWrapper.error(errorMessage);
 					return {
 						success: false,
 						error: { code: 'INVALID_TASK_ID', message: errorMessage },
@@ -89,66 +99,88 @@ export async function updateTaskByIdDirect(args, log, context = {}) {
 		// Get research flag
 		const useResearch = research === true;
 
-		log.info(
+		logWrapper.info(
 			`Updating task with ID ${taskId} with prompt "${prompt}" and research: ${useResearch}`
 		);
 
-		try {
-			// Enable silent mode to prevent console logs from interfering with JSON response
+		const wasSilent = isSilentMode();
+		if (!wasSilent) {
 			enableSilentMode();
+		}
 
-			// Create the logger wrapper using the utility function
-			const mcpLog = createLogWrapper(log);
-
+		try {
 			// Execute core updateTaskById function with proper parameters
-			await updateTaskById(
+			const coreResult = await updateTaskById(
 				tasksPath,
 				taskId,
 				prompt,
 				useResearch,
 				{
-					mcpLog, // Pass the wrapped logger
-					session
+					mcpLog: logWrapper,
+					session,
+					projectRoot,
+					commandName: 'update-task',
+					outputType: 'mcp'
 				},
 				'json'
 			);
 
-			// Since updateTaskById doesn't return a value but modifies the tasks file,
-			// we'll return a success message
+			// Check if the core function returned null or an object without success
+			if (!coreResult || coreResult.updatedTask === null) {
+				// Core function logs the reason, just return success with info
+				const message = `Task ${taskId} was not updated (likely already completed).`;
+				logWrapper.info(message);
+				return {
+					success: true,
+					data: {
+						message: message,
+						taskId: taskId,
+						updated: false,
+						telemetryData: coreResult?.telemetryData
+					},
+					fromCache: false
+				};
+			}
+
+			// Task was updated successfully
+			const successMessage = `Successfully updated task with ID ${taskId} based on the prompt`;
+			logWrapper.success(successMessage);
 			return {
 				success: true,
 				data: {
-					message: `Successfully updated task with ID ${taskId} based on the prompt`,
-					taskId,
-					tasksPath: tasksPath, // Return the used path
-					useResearch
+					message: successMessage,
+					taskId: taskId,
+					tasksPath: tasksPath,
+					useResearch: useResearch,
+					updated: true,
+					updatedTask: coreResult.updatedTask,
+					telemetryData: coreResult.telemetryData
 				},
-				fromCache: false // This operation always modifies state and should never be cached
+				fromCache: false
 			};
 		} catch (error) {
-			log.error(`Error updating task by ID: ${error.message}`);
+			logWrapper.error(`Error updating task by ID: ${error.message}`);
 			return {
 				success: false,
 				error: {
-					code: 'UPDATE_TASK_ERROR',
+					code: 'UPDATE_TASK_CORE_ERROR',
 					message: error.message || 'Unknown error updating task'
 				},
 				fromCache: false
 			};
 		} finally {
-			// Make sure to restore normal logging even if there's an error
-			disableSilentMode();
+			if (!wasSilent && isSilentMode()) {
+				disableSilentMode();
+			}
 		}
 	} catch (error) {
-		// Ensure silent mode is disabled
-		disableSilentMode();
-
-		log.error(`Error updating task by ID: ${error.message}`);
+		logWrapper.error(`Setup error in updateTaskByIdDirect: ${error.message}`);
+		if (isSilentMode()) disableSilentMode();
 		return {
 			success: false,
 			error: {
-				code: 'UPDATE_TASK_ERROR',
-				message: error.message || 'Unknown error updating task'
+				code: 'DIRECT_FUNCTION_SETUP_ERROR',
+				message: error.message || 'Unknown setup error'
 			},
 			fromCache: false
 		};

mcp-server/src/core/direct-functions/update-tasks.js

@@ -1,128 +1,126 @@
 /**
  * update-tasks.js
- * Direct function implementation for updating tasks based on new context/prompt
+ * Direct function implementation for updating tasks based on new context
  */
 
+import path from 'path';
 import { updateTasks } from '../../../../scripts/modules/task-manager.js';
+import { createLogWrapper } from '../../tools/utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
 } from '../../../../scripts/modules/utils.js';
-import { createLogWrapper } from '../../tools/utils.js';
 
 /**
- * Direct function wrapper for updating tasks based on new context/prompt.
+ * Direct function wrapper for updating tasks based on new context.
  *
- * @param {Object} args - Command arguments containing from, prompt, research and tasksJsonPath.
+ * @param {Object} args - Command arguments containing projectRoot, from, prompt, research options.
  * @param {Object} log - Logger object.
  * @param {Object} context - Context object containing session data.
  * @returns {Promise<Object>} - Result object with success status and data/error information.
  */
 export async function updateTasksDirect(args, log, context = {}) {
-	const { session } = context; // Extract session
-	const { tasksJsonPath, from, prompt, research } = args;
+	const { session } = context;
+	const { from, prompt, research, file: fileArg, projectRoot } = args;
 
 	// Create the standard logger wrapper
-	const logWrapper = {
-		info: (message, ...args) => log.info(message, ...args),
-		warn: (message, ...args) => log.warn(message, ...args),
-		error: (message, ...args) => log.error(message, ...args),
-		debug: (message, ...args) => log.debug && log.debug(message, ...args),
-		success: (message, ...args) => log.info(message, ...args)
-	};
+	const logWrapper = createLogWrapper(log);
 
-	// --- Input Validation (Keep existing checks) ---
-	if (!tasksJsonPath) {
-		log.error('updateTasksDirect called without tasksJsonPath');
-		return {
-			success: false,
-			error: { code: 'MISSING_ARGUMENT', message: 'tasksJsonPath is required' },
-			fromCache: false
-		};
-	}
-	if (args.id !== undefined && from === undefined) {
-		// Keep 'from' vs 'id' check
-		const errorMessage =
-			"Use 'from' parameter, not 'id', or use 'update_task' tool.";
-		log.error(errorMessage);
-		return {
-			success: false,
-			error: { code: 'PARAMETER_MISMATCH', message: errorMessage },
-			fromCache: false
-		};
-	}
-	if (!from) {
-		log.error('Missing from ID.');
-		return {
-			success: false,
-			error: { code: 'MISSING_FROM_ID', message: 'No from ID specified.' },
-			fromCache: false
-		};
-	}
-	if (!prompt) {
-		log.error('Missing prompt.');
-		return {
-			success: false,
-			error: { code: 'MISSING_PROMPT', message: 'No prompt specified.' },
-			fromCache: false
-		};
-	}
-	let fromId;
-	try {
-		fromId = parseInt(from, 10);
-		if (isNaN(fromId) || fromId <= 0) throw new Error();
-	} catch {
-		log.error(`Invalid from ID: ${from}`);
+	// --- Input Validation ---
+	if (!projectRoot) {
+		logWrapper.error('updateTasksDirect requires a projectRoot argument.');
 		return {
 			success: false,
 			error: {
-				code: 'INVALID_FROM_ID',
-				message: `Invalid from ID: ${from}. Must be a positive integer.`
-			},
-			fromCache: false
+				code: 'MISSING_ARGUMENT',
+				message: 'projectRoot is required.'
+			}
 		};
 	}
-	const useResearch = research === true;
-	// --- End Input Validation ---
 
-	log.info(`Updating tasks from ID ${fromId}. Research: ${useResearch}`);
+	if (!from) {
+		logWrapper.error('updateTasksDirect called without from ID');
+		return {
+			success: false,
+			error: {
+				code: 'MISSING_ARGUMENT',
+				message: 'Starting task ID (from) is required'
+			}
+		};
+	}
+
+	if (!prompt) {
+		logWrapper.error('updateTasksDirect called without prompt');
+		return {
+			success: false,
+			error: {
+				code: 'MISSING_ARGUMENT',
+				message: 'Update prompt is required'
+			}
+		};
+	}
+
+	// Resolve tasks file path
+	const tasksFile = fileArg
+		? path.resolve(projectRoot, fileArg)
+		: path.resolve(projectRoot, 'tasks', 'tasks.json');
+
+	logWrapper.info(
+		`Updating tasks via direct function. From: ${from}, Research: ${research}, File: ${tasksFile}, ProjectRoot: ${projectRoot}`
+	);
 
 	enableSilentMode(); // Enable silent mode
 	try {
-		// Create logger wrapper using the utility
-		const mcpLog = createLogWrapper(log);
-
-		// Execute core updateTasks function, passing session context
-		await updateTasks(
-			tasksJsonPath,
-			fromId,
+		// Call the core updateTasks function
+		const result = await updateTasks(
+			tasksFile,
+			from,
 			prompt,
-			useResearch,
-			// Pass context with logger wrapper and session
-			{ mcpLog, session },
-			'json' // Explicitly request JSON format for MCP
+			research,
+			{
+				session,
+				mcpLog: logWrapper,
+				projectRoot
+			},
+			'json'
 		);
 
-		// Since updateTasks modifies file and doesn't return data, create success message
-		return {
-			success: true,
-			data: {
-				message: `Successfully initiated update for tasks from ID ${fromId} based on the prompt.`,
-				fromId,
-				tasksPath: tasksJsonPath,
-				useResearch
-			},
-			fromCache: false // Modifies state
-		};
+		if (result && result.success && Array.isArray(result.updatedTasks)) {
+			logWrapper.success(
+				`Successfully updated ${result.updatedTasks.length} tasks.`
+			);
+			return {
+				success: true,
+				data: {
+					message: `Successfully updated ${result.updatedTasks.length} tasks.`,
+					tasksFile,
+					updatedCount: result.updatedTasks.length,
+					telemetryData: result.telemetryData
+				}
+			};
+		} else {
+			// Handle case where core function didn't return expected success structure
+			logWrapper.error(
+				'Core updateTasks function did not return a successful structure.'
+			);
+			return {
+				success: false,
+				error: {
+					code: 'CORE_FUNCTION_ERROR',
+					message:
+						result?.message ||
+						'Core function failed to update tasks or returned unexpected result.'
+				}
+			};
+		}
 	} catch (error) {
-		log.error(`Error executing core updateTasks: ${error.message}`);
+		logWrapper.error(`Error executing core updateTasks: ${error.message}`);
 		return {
 			success: false,
 			error: {
 				code: 'UPDATE_TASKS_CORE_ERROR',
 				message: error.message || 'Unknown error updating tasks'
-			},
-			fromCache: false
+			}
 		};
 	} finally {
 		disableSilentMode(); // Ensure silent mode is disabled

mcp-server/src/core/task-master-core.js

@@ -28,7 +28,7 @@ import { fixDependenciesDirect } from './direct-functions/fix-dependencies.js';
 import { complexityReportDirect } from './direct-functions/complexity-report.js';
 import { addDependencyDirect } from './direct-functions/add-dependency.js';
 import { removeTaskDirect } from './direct-functions/remove-task.js';
-import { initializeProjectDirect } from './direct-functions/initialize-project-direct.js';
+import { initializeProjectDirect } from './direct-functions/initialize-project.js';
 import { modelsDirect } from './direct-functions/models.js';
 
 // Re-export utility functions

mcp-server/src/core/utils/path-utils.js

@@ -339,6 +339,49 @@ export function findPRDDocumentPath(projectRoot, explicitPath, log) {
 	return null;
 }
 
+export function findComplexityReportPath(projectRoot, explicitPath, log) {
+	// If explicit path is provided, check if it exists
+	if (explicitPath) {
+		const fullPath = path.isAbsolute(explicitPath)
+			? explicitPath
+			: path.resolve(projectRoot, explicitPath);
+
+		if (fs.existsSync(fullPath)) {
+			log.info(`Using provided PRD document path: ${fullPath}`);
+			return fullPath;
+		} else {
+			log.warn(
+				`Provided PRD document path not found: ${fullPath}, will search for alternatives`
+			);
+		}
+	}
+
+	// Common locations and file patterns for PRD documents
+	const commonLocations = [
+		'', // Project root
+		'scripts/'
+	];
+
+	const commonFileNames = [
+		'complexity-report.json',
+		'task-complexity-report.json'
+	];
+
+	// Check all possible combinations
+	for (const location of commonLocations) {
+		for (const fileName of commonFileNames) {
+			const potentialPath = path.join(projectRoot, location, fileName);
+			if (fs.existsSync(potentialPath)) {
+				log.info(`Found PRD document at: ${potentialPath}`);
+				return potentialPath;
+			}
+		}
+	}
+
+	log.warn(`No PRD document found in common locations within ${projectRoot}`);
+	return null;
+}
+
 /**
  * Resolves the tasks output directory path
  * @param {string} projectRoot - The project root directory

mcp-server/src/tools/add-dependency.js

@@ -7,7 +7,8 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	getProjectRootFromSession,
+	withNormalizedProjectRoot
 } from './utils.js';
 import { addDependencyDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -35,28 +36,16 @@ export function registerAddDependencyTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(
 					`Adding dependency for task ${args.id} to depend on ${args.dependsOn}`
 				);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -92,6 +81,6 @@ export function registerAddDependencyTool(server) {
 				log.error(`Error in addDependency tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/add-subtask.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { addSubtaskDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -60,24 +60,15 @@ export function registerAddSubtaskTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Adding subtask with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -113,6 +104,6 @@ export function registerAddSubtaskTool(server) {
 				log.error(`Error in addSubtask tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/add-task.js

@@ -6,8 +6,8 @@
 import { z } from 'zod';
 import {
 	createErrorResponse,
-	withProjectContext,
-	handleApiResult
+	handleApiResult,
+	withNormalizedProjectRoot
 } from './utils.js';
 import { addTaskDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -63,13 +63,11 @@ export function registerAddTaskTool(server) {
 				.optional()
 				.describe('Whether to use research capabilities for task creation')
 		}),
-		execute: withProjectContext(async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Starting add-task with args: ${JSON.stringify(args)}`);
 
-				// Note: projectRoot is now guaranteed to be normalized by withProjectContext
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
@@ -83,12 +81,10 @@ export function registerAddTaskTool(server) {
 					);
 				}
 
-				// Call the direct function
+				// Call the direct functionP
 				const result = await addTaskDirect(
 					{
-						// Pass the explicitly resolved path
 						tasksJsonPath: tasksJsonPath,
-						// Pass other relevant args
 						prompt: args.prompt,
 						title: args.title,
 						description: args.description,
@@ -96,13 +92,13 @@ export function registerAddTaskTool(server) {
 						testStrategy: args.testStrategy,
 						dependencies: args.dependencies,
 						priority: args.priority,
-						research: args.research
+						research: args.research,
+						projectRoot: args.projectRoot
 					},
 					log,
 					{ session }
 				);
 
-				// Return the result
 				return handleApiResult(result, log);
 			} catch (error) {
 				log.error(`Error in add-task tool: ${error.message}`);

mcp-server/src/tools/analyze.js

@@ -4,121 +4,128 @@
  */
 
 import { z } from 'zod';
-import { handleApiResult, createErrorResponse } from './utils.js';
-import { analyzeTaskComplexityDirect } from '../core/direct-functions/analyze-task-complexity.js';
-import { findTasksJsonPath } from '../core/utils/path-utils.js';
 import path from 'path';
-import fs from 'fs';
+import fs from 'fs'; // Import fs for directory check/creation
+import {
+	handleApiResult,
+	createErrorResponse,
+	withNormalizedProjectRoot
+} from './utils.js';
+import { analyzeTaskComplexityDirect } from '../core/task-master-core.js'; // Assuming core functions are exported via task-master-core.js
+import { findTasksJsonPath } from '../core/utils/path-utils.js';
 
 /**
- * Register the analyze tool with the MCP server
+ * Register the analyze_project_complexity tool
  * @param {Object} server - FastMCP server instance
  */
-export function registerAnalyzeTool(server) {
+export function registerAnalyzeProjectComplexityTool(server) {
 	server.addTool({
 		name: 'analyze_project_complexity',
 		description:
-			'Analyze task complexity and generate expansion recommendations',
+			'Analyze task complexity and generate expansion recommendations.',
 		parameters: z.object({
+			threshold: z.coerce // Use coerce for number conversion from string if needed
+				.number()
+				.int()
+				.min(1)
+				.max(10)
+				.optional()
+				.default(5) // Default threshold
+				.describe('Complexity score threshold (1-10) to recommend expansion.'),
+			research: z
+				.boolean()
+				.optional()
+				.default(false)
+				.describe('Use Perplexity AI for research-backed analysis.'),
 			output: z
 				.string()
 				.optional()
 				.describe(
-					'Output file path relative to project root (default: scripts/task-complexity-report.json)'
-				),
-			threshold: z.coerce
-				.number()
-				.min(1)
-				.max(10)
-				.optional()
-				.describe(
-					'Minimum complexity score to recommend expansion (1-10) (default: 5)'
+					'Output file path relative to project root (default: scripts/task-complexity-report.json).'
 				),
 			file: z
 				.string()
 				.optional()
 				.describe(
-					'Absolute path to the tasks file in the /tasks folder inside the project root (default: tasks/tasks.json)'
+					'Path to the tasks file relative to project root (default: tasks/tasks.json).'
 				),
-			research: z
-				.boolean()
-				.optional()
-				.default(false)
-				.describe('Use research role for complexity analysis'),
 			projectRoot: z
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+			const toolName = 'analyze_project_complexity'; // Define tool name for logging
 			try {
 				log.info(
-					`Executing analyze_project_complexity tool with args: ${JSON.stringify(args)}`
+					`Executing ${toolName} tool with args: ${JSON.stringify(args)}`
 				);
 
-				const rootFolder = args.projectRoot;
-				if (!rootFolder) {
-					return createErrorResponse('projectRoot is required.');
-				}
-				if (!path.isAbsolute(rootFolder)) {
-					return createErrorResponse('projectRoot must be an absolute path.');
-				}
-
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
+					log.info(`${toolName}: Resolved tasks path: ${tasksJsonPath}`);
 				} catch (error) {
-					log.error(`Error finding tasks.json: ${error.message}`);
+					log.error(`${toolName}: Error finding tasks.json: ${error.message}`);
 					return createErrorResponse(
-						`Failed to find tasks.json within project root '${rootFolder}': ${error.message}`
+						`Failed to find tasks.json within project root '${args.projectRoot}': ${error.message}`
 					);
 				}
 
 				const outputPath = args.output
-					? path.resolve(rootFolder, args.output)
-					: path.resolve(rootFolder, 'scripts', 'task-complexity-report.json');
+					? path.resolve(args.projectRoot, args.output)
+					: path.resolve(
+							args.projectRoot,
+							'scripts',
+							'task-complexity-report.json'
+						);
 
+				log.info(`${toolName}: Report output path: ${outputPath}`);
+
+				// Ensure output directory exists
 				const outputDir = path.dirname(outputPath);
 				try {
 					if (!fs.existsSync(outputDir)) {
 						fs.mkdirSync(outputDir, { recursive: true });
-						log.info(`Created output directory: ${outputDir}`);
+						log.info(`${toolName}: Created output directory: ${outputDir}`);
 					}
 				} catch (dirError) {
 					log.error(
-						`Failed to create output directory ${outputDir}: ${dirError.message}`
+						`${toolName}: Failed to create output directory ${outputDir}: ${dirError.message}`
 					);
 					return createErrorResponse(
 						`Failed to create output directory: ${dirError.message}`
 					);
 				}
 
+				// 3. Call Direct Function - Pass projectRoot in first arg object
 				const result = await analyzeTaskComplexityDirect(
 					{
 						tasksJsonPath: tasksJsonPath,
 						outputPath: outputPath,
 						threshold: args.threshold,
-						research: args.research
+						research: args.research,
+						projectRoot: args.projectRoot
 					},
 					log,
 					{ session }
 				);
 
-				if (result.success) {
-					log.info(`Tool analyze_project_complexity finished successfully.`);
-				} else {
-					log.error(
-						`Tool analyze_project_complexity failed: ${result.error?.message || 'Unknown error'}`
-					);
-				}
-
+				// 4. Handle Result
+				log.info(
+					`${toolName}: Direct function result: success=${result.success}`
+				);
 				return handleApiResult(result, log, 'Error analyzing task complexity');
 			} catch (error) {
-				log.error(`Critical error in analyze tool execute: ${error.message}`);
-				return createErrorResponse(`Internal tool error: ${error.message}`);
+				log.error(
+					`Critical error in ${toolName} tool execute: ${error.message}`
+				);
+				return createErrorResponse(
+					`Internal tool error (${toolName}): ${error.message}`
+				);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/clear-subtasks.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { clearSubtasksDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -41,26 +41,15 @@ export function registerClearSubtasksTool(server) {
 				message: "Either 'id' or 'all' parameter must be provided",
 				path: ['id', 'all']
 			}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Clearing subtasks with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -72,14 +61,11 @@ export function registerClearSubtasksTool(server) {
 
 				const result = await clearSubtasksDirect(
 					{
-						// Pass the explicitly resolved path
 						tasksJsonPath: tasksJsonPath,
-						// Pass other relevant args
 						id: args.id,
 						all: args.all
 					},
 					log
-					// Remove context object as clearSubtasksDirect likely doesn't need session/reportProgress
 				);
 
 				if (result.success) {
@@ -93,6 +79,6 @@ export function registerClearSubtasksTool(server) {
 				log.error(`Error in clearSubtasks tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/complexity-report.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { complexityReportDirect } from '../core/task-master-core.js';
 import path from 'path';
@@ -31,34 +31,24 @@ export function registerComplexityReportTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(
 					`Getting complexity report with args: ${JSON.stringify(args)}`
 				);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to the complexity report file
-				// Default to scripts/task-complexity-report.json relative to root
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				const reportPath = args.file
-					? path.resolve(rootFolder, args.file)
-					: path.resolve(rootFolder, 'scripts', 'task-complexity-report.json');
+					? path.resolve(args.projectRoot, args.file)
+					: path.resolve(
+							args.projectRoot,
+							'scripts',
+							'task-complexity-report.json'
+						);
 
 				const result = await complexityReportDirect(
 					{
-						// Pass the explicitly resolved path
 						reportPath: reportPath
-						// No other args specific to this tool
 					},
 					log
 				);
@@ -84,6 +74,6 @@ export function registerComplexityReportTool(server) {
 					`Failed to retrieve complexity report: ${error.message}`
 				);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/expand-all.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { expandAllTasksDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -59,25 +59,16 @@ export function registerExpandAllTool(server) {
 					'Absolute path to the project root directory (derived from session if possible)'
 				)
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(
 					`Tool expand_all execution started with args: ${JSON.stringify(args)}`
 				);
 
-				const rootFolder = getProjectRootFromSession(session, log);
-				if (!rootFolder) {
-					log.error('Could not determine project root from session.');
-					return createErrorResponse(
-						'Could not determine project root from session.'
-					);
-				}
-				log.info(`Project root determined: ${rootFolder}`);
-
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 					log.info(`Resolved tasks.json path: ${tasksJsonPath}`);
@@ -94,7 +85,8 @@ export function registerExpandAllTool(server) {
 						num: args.num,
 						research: args.research,
 						prompt: args.prompt,
-						force: args.force
+						force: args.force,
+						projectRoot: args.projectRoot
 					},
 					log,
 					{ session }
@@ -112,6 +104,6 @@ export function registerExpandAllTool(server) {
 					`An unexpected error occurred: ${error.message}`
 				);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/expand-task.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { expandTaskDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -47,28 +47,15 @@ export function registerExpandTaskTool(server) {
 				.default(false)
 				.describe('Force expansion even if subtasks exist')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Starting expand-task with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				log.info(`Project root resolved to: ${rootFolder}`);
-
-				// Resolve the path to tasks.json using the utility
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -78,29 +65,25 @@ export function registerExpandTaskTool(server) {
 					);
 				}
 
-				// Call direct function with only session in the context, not reportProgress
-				// Use the pattern recommended in the MCP guidelines
 				const result = await expandTaskDirect(
 					{
-						// Pass the explicitly resolved path
 						tasksJsonPath: tasksJsonPath,
-						// Pass other relevant args
 						id: args.id,
 						num: args.num,
 						research: args.research,
 						prompt: args.prompt,
-						force: args.force // Need to add force to parameters
+						force: args.force,
+						projectRoot: args.projectRoot
 					},
 					log,
 					{ session }
-				); // Only pass session, NOT reportProgress
+				);
 
-				// Return the result
 				return handleApiResult(result, log, 'Error expanding task');
 			} catch (error) {
-				log.error(`Error in expand task tool: ${error.message}`);
+				log.error(`Error in expand-task tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/fix-dependencies.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { fixDependenciesDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -26,24 +26,15 @@ export function registerFixDependenciesTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Fixing dependencies with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -71,6 +62,6 @@ export function registerFixDependenciesTool(server) {
 				log.error(`Error in fixDependencies tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/generate.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { generateTaskFilesDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -32,26 +32,15 @@ export function registerGenerateTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Generating task files with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -61,17 +50,14 @@ export function registerGenerateTool(server) {
 					);
 				}
 
-				// Determine output directory: use explicit arg or default to tasks.json directory
 				const outputDir = args.output
-					? path.resolve(rootFolder, args.output) // Resolve relative to root if needed
+					? path.resolve(args.projectRoot, args.output)
 					: path.dirname(tasksJsonPath);
 
 				const result = await generateTaskFilesDirect(
 					{
-						// Pass the explicitly resolved paths
 						tasksJsonPath: tasksJsonPath,
 						outputDir: outputDir
-						// No other args specific to this tool
 					},
 					log
 				);
@@ -89,6 +75,6 @@ export function registerGenerateTool(server) {
 				log.error(`Error in generate tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/get-task.js

@@ -7,10 +7,13 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { showTaskDirect } from '../core/task-master-core.js';
-import { findTasksJsonPath } from '../core/utils/path-utils.js';
+import {
+	findTasksJsonPath,
+	findComplexityReportPath
+} from '../core/utils/path-utils.js';
 
 /**
  * Custom processor function that removes allTasks from the response
@@ -21,8 +24,10 @@ function processTaskResponse(data) {
 	if (!data) return data;
 
 	// If we have the expected structure with task and allTasks
-	if (data.task) {
-		// Return only the task object, removing the allTasks array
+	if (typeof data === 'object' && data !== null && data.id && data.title) {
+		// If the data itself looks like the task object, return it
+		return data;
+	} else if (data.task) {
 		return data.task;
 	}
 
@@ -44,44 +49,39 @@ export function registerShowTaskTool(server) {
 				.string()
 				.optional()
 				.describe("Filter subtasks by status (e.g., 'pending', 'done')"),
-			file: z.string().optional().describe('Absolute path to the tasks file'),
+			file: z
+				.string()
+				.optional()
+				.describe('Path to the tasks file relative to project root'),
+			complexityReport: z
+				.string()
+				.optional()
+				.describe(
+					'Path to the complexity report file (relative to project root or absolute)'
+				),
 			projectRoot: z
 				.string()
-				.describe('The directory of the project. Must be an absolute path.')
+				.optional()
+				.describe(
+					'Absolute path to the project root directory (Optional, usually from session)'
+				)
 		}),
-		execute: async (args, { log, session }) => {
-			// Log the session right at the start of execute
-			log.info(
-				`Session object received in execute: ${JSON.stringify(session)}`
-			); // Use JSON.stringify for better visibility
+		execute: withNormalizedProjectRoot(async (args, { log }) => {
+			const { id, file, status, projectRoot } = args;
 
 			try {
 				log.info(
-					`Getting task details for ID: ${args.id}${args.status ? ` (filtering subtasks by status: ${args.status})` : ''}`
+					`Getting task details for ID: ${id}${status ? ` (filtering subtasks by status: ${status})` : ''} in root: ${projectRoot}`
 				);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				log.info(`Attempting to use project root: ${rootFolder}`); // Log the final resolved root
-
-				log.info(`Root folder: ${rootFolder}`); // Log the final resolved root
-
-				// Resolve the path to tasks.json
+				// Resolve the path to tasks.json using the NORMALIZED projectRoot from args
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: projectRoot, file: file },
 						log
 					);
+					log.info(`Resolved tasks path: ${tasksJsonPath}`);
 				} catch (error) {
 					log.error(`Error finding tasks.json: ${error.message}`);
 					return createErrorResponse(
@@ -89,13 +89,26 @@ export function registerShowTaskTool(server) {
 					);
 				}
 
-				log.info(`Attempting to use tasks file path: ${tasksJsonPath}`);
-
+				// Call the direct function, passing the normalized projectRoot
+				// Resolve the path to complexity report
+				let complexityReportPath;
+				try {
+					complexityReportPath = findComplexityReportPath(
+						projectRoot,
+						args.complexityReport,
+						log
+					);
+				} catch (error) {
+					log.error(`Error finding complexity report: ${error.message}`);
+				}
 				const result = await showTaskDirect(
 					{
 						tasksJsonPath: tasksJsonPath,
-						id: args.id,
-						status: args.status
+						reportPath: complexityReportPath,
+						// Pass other relevant args
+						id: id,
+						status: status,
+						projectRoot: projectRoot
 					},
 					log
 				);
@@ -108,7 +121,7 @@ export function registerShowTaskTool(server) {
 					log.error(`Failed to get task: ${result.error.message}`);
 				}
 
-				// Use our custom processor function to remove allTasks from the response
+				// Use our custom processor function
 				return handleApiResult(
 					result,
 					log,
@@ -116,9 +129,9 @@ export function registerShowTaskTool(server) {
 					processTaskResponse
 				);
 			} catch (error) {
-				log.error(`Error in get-task tool: ${error.message}\n${error.stack}`); // Add stack trace
+				log.error(`Error in get-task tool: ${error.message}\n${error.stack}`);
 				return createErrorResponse(`Failed to get task: ${error.message}`);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/get-tasks.js

@@ -7,10 +7,13 @@ import { z } from 'zod';
 import {
 	createErrorResponse,
 	handleApiResult,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { listTasksDirect } from '../core/task-master-core.js';
-import { findTasksJsonPath } from '../core/utils/path-utils.js';
+import {
+	findTasksJsonPath,
+	findComplexityReportPath
+} from '../core/utils/path-utils.js';
 
 /**
  * Register the getTasks tool with the MCP server
@@ -38,45 +41,51 @@ export function registerListTasksTool(server) {
 				.describe(
 					'Path to the tasks file (relative to project root or absolute)'
 				),
+			complexityReport: z
+				.string()
+				.optional()
+				.describe(
+					'Path to the complexity report file (relative to project root or absolute)'
+				),
 			projectRoot: z
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Getting tasks with filters: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
 					log.error(`Error finding tasks.json: ${error.message}`);
-					// Use the error message from findTasksJsonPath for better context
 					return createErrorResponse(
 						`Failed to find tasks.json: ${error.message}`
 					);
 				}
 
+				// Resolve the path to complexity report
+				let complexityReportPath;
+				try {
+					complexityReportPath = findComplexityReportPath(
+						args.projectRoot,
+						args.complexityReport,
+						log
+					);
+				} catch (error) {
+					log.error(`Error finding complexity report: ${error.message}`);
+				}
 				const result = await listTasksDirect(
 					{
 						tasksJsonPath: tasksJsonPath,
 						status: args.status,
-						withSubtasks: args.withSubtasks
+						withSubtasks: args.withSubtasks,
+						reportPath: complexityReportPath
 					},
 					log
 				);
@@ -89,7 +98,7 @@ export function registerListTasksTool(server) {
 				log.error(`Error getting tasks: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }
 

mcp-server/src/tools/index.js

@@ -17,7 +17,7 @@ import { registerExpandTaskTool } from './expand-task.js';
 import { registerAddTaskTool } from './add-task.js';
 import { registerAddSubtaskTool } from './add-subtask.js';
 import { registerRemoveSubtaskTool } from './remove-subtask.js';
-import { registerAnalyzeTool } from './analyze.js';
+import { registerAnalyzeProjectComplexityTool } from './analyze.js';
 import { registerClearSubtasksTool } from './clear-subtasks.js';
 import { registerExpandAllTool } from './expand-all.js';
 import { registerRemoveDependencyTool } from './remove-dependency.js';
@@ -63,7 +63,7 @@ export function registerTaskMasterTools(server) {
 		registerClearSubtasksTool(server);
 
 		// Group 5: Task Analysis & Expansion
-		registerAnalyzeTool(server);
+		registerAnalyzeProjectComplexityTool(server);
 		registerExpandTaskTool(server);
 		registerExpandAllTool(server);
 

mcp-server/src/tools/initialize-project.js

@@ -1,5 +1,9 @@
 import { z } from 'zod';
-import { createErrorResponse, handleApiResult } from './utils.js';
+import {
+	createErrorResponse,
+	handleApiResult,
+	withNormalizedProjectRoot
+} from './utils.js';
 import { initializeProjectDirect } from '../core/task-master-core.js';
 
 export function registerInitializeProjectTool(server) {
@@ -33,19 +37,10 @@ export function registerInitializeProjectTool(server) {
 					'The root directory for the project. ALWAYS SET THIS TO THE PROJECT ROOT DIRECTORY. IF NOT SET, THE TOOL WILL NOT WORK.'
 				)
 		}),
-		execute: async (args, context) => {
+		execute: withNormalizedProjectRoot(async (args, context) => {
 			const { log } = context;
 			const session = context.session;
 
-			log.info(
-				'>>> Full Context Received by Tool:',
-				JSON.stringify(context, null, 2)
-			);
-			log.info(`Context received in tool function: ${context}`);
-			log.info(
-				`Session received in tool function: ${session ? session : 'undefined'}`
-			);
-
 			try {
 				log.info(
 					`Executing initialize_project tool with args: ${JSON.stringify(args)}`
@@ -59,6 +54,6 @@ export function registerInitializeProjectTool(server) {
 				log.error(errorMessage, error);
 				return createErrorResponse(errorMessage, { details: error.stack });
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/models.js

@@ -5,9 +5,9 @@
 
 import { z } from 'zod';
 import {
-	getProjectRootFromSession,
 	handleApiResult,
-	createErrorResponse
+	createErrorResponse,
+	withNormalizedProjectRoot
 } from './utils.js';
 import { modelsDirect } from '../core/task-master-core.js';
 
@@ -42,7 +42,9 @@ export function registerModelsTool(server) {
 			listAvailableModels: z
 				.boolean()
 				.optional()
-				.describe('List all available models not currently in use.'),
+				.describe(
+					'List all available models not currently in use. Input/output costs values are in dollars (3 is $3.00).'
+				),
 			projectRoot: z
 				.string()
 				.optional()
@@ -56,34 +58,22 @@ export function registerModelsTool(server) {
 				.optional()
 				.describe('Indicates the set model ID is a custom Ollama model.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Starting models tool with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Call the direct function
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				const result = await modelsDirect(
-					{ ...args, projectRoot: rootFolder },
+					{ ...args, projectRoot: args.projectRoot },
 					log,
 					{ session }
 				);
 
-				// Handle and return the result
 				return handleApiResult(result, log);
 			} catch (error) {
 				log.error(`Error in models tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/next-task.js

@@ -7,10 +7,13 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { nextTaskDirect } from '../core/task-master-core.js';
-import { findTasksJsonPath } from '../core/utils/path-utils.js';
+import {
+	findTasksJsonPath,
+	findComplexityReportPath
+} from '../core/utils/path-utils.js';
 
 /**
  * Register the next-task tool with the MCP server
@@ -23,30 +26,25 @@ export function registerNextTaskTool(server) {
 			'Find the next task to work on based on dependencies and status',
 		parameters: z.object({
 			file: z.string().optional().describe('Absolute path to the tasks file'),
+			complexityReport: z
+				.string()
+				.optional()
+				.describe(
+					'Path to the complexity report file (relative to project root or absolute)'
+				),
 			projectRoot: z
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Finding next task with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -56,11 +54,21 @@ export function registerNextTaskTool(server) {
 					);
 				}
 
+				// Resolve the path to complexity report
+				let complexityReportPath;
+				try {
+					complexityReportPath = findComplexityReportPath(
+						args.projectRoot,
+						args.complexityReport,
+						log
+					);
+				} catch (error) {
+					log.error(`Error finding complexity report: ${error.message}`);
+				}
 				const result = await nextTaskDirect(
 					{
-						// Pass the explicitly resolved path
-						tasksJsonPath: tasksJsonPath
-						// No other args specific to this tool
+						tasksJsonPath: tasksJsonPath,
+						reportPath: complexityReportPath
 					},
 					log
 				);
@@ -80,6 +88,6 @@ export function registerNextTaskTool(server) {
 				log.error(`Error in nextTask tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/parse-prd.js

@@ -4,16 +4,16 @@
  */
 
 import { z } from 'zod';
+import path from 'path';
 import {
-	getProjectRootFromSession,
 	handleApiResult,
-	createErrorResponse
+	createErrorResponse,
+	withNormalizedProjectRoot
 } from './utils.js';
 import { parsePRDDirect } from '../core/task-master-core.js';
-import { resolveProjectPaths } from '../core/utils/path-utils.js';
 
 /**
- * Register the parsePRD tool with the MCP server
+ * Register the parse_prd tool
  * @param {Object} server - FastMCP server instance
  */
 export function registerParsePRDTool(server) {
@@ -42,72 +42,50 @@ export function registerParsePRDTool(server) {
 			force: z
 				.boolean()
 				.optional()
-				.describe('Allow overwriting an existing tasks.json file.'),
+				.default(false)
+				.describe('Overwrite existing output file without prompting.'),
 			append: z
 				.boolean()
 				.optional()
-				.describe(
-					'Append new tasks to existing tasks.json instead of overwriting'
-				),
+				.default(false)
+				.describe('Append generated tasks to existing file.'),
 			projectRoot: z
 				.string()
-				.describe('The directory of the project. Must be absolute path.')
+				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+			const toolName = 'parse_prd';
 			try {
-				log.info(`Parsing PRD with args: ${JSON.stringify(args)}`);
-
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve input (PRD) and output (tasks.json) paths using the utility
-				const { projectRoot, prdPath, tasksJsonPath } = resolveProjectPaths(
-					rootFolder,
-					args,
-					log
+				log.info(
+					`Executing ${toolName} tool with args: ${JSON.stringify(args)}`
 				);
 
-				// Check if PRD path was found (resolveProjectPaths returns null if not found and not provided)
-				if (!prdPath) {
-					return createErrorResponse(
-						'No PRD document found or provided. Please ensure a PRD file exists (e.g., PRD.md) or provide a valid input file path.'
-					);
-				}
-
-				// Call the direct function with fully resolved paths
+				// Call Direct Function - Pass relevant args including projectRoot
 				const result = await parsePRDDirect(
 					{
-						projectRoot: projectRoot,
-						input: prdPath,
-						output: tasksJsonPath,
+						input: args.input,
+						output: args.output,
 						numTasks: args.numTasks,
 						force: args.force,
-						append: args.append
+						append: args.append,
+						projectRoot: args.projectRoot
 					},
 					log,
 					{ session }
 				);
 
-				if (result.success) {
-					log.info(`Successfully parsed PRD: ${result.data.message}`);
-				} else {
-					log.error(
-						`Failed to parse PRD: ${result.error?.message || 'Unknown error'}`
-					);
-				}
-
+				log.info(
+					`${toolName}: Direct function result: success=${result.success}`
+				);
 				return handleApiResult(result, log, 'Error parsing PRD');
 			} catch (error) {
-				log.error(`Error in parse-prd tool: ${error.message}`);
-				return createErrorResponse(error.message);
+				log.error(
+					`Critical error in ${toolName} tool execute: ${error.message}`
+				);
+				return createErrorResponse(
+					`Internal tool error (${toolName}): ${error.message}`
+				);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/remove-dependency.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { removeDependencyDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -33,28 +33,17 @@ export function registerRemoveDependencyTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(
 					`Removing dependency for task ${args.id} from ${args.dependsOn} with args: ${JSON.stringify(args)}`
 				);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -66,9 +55,7 @@ export function registerRemoveDependencyTool(server) {
 
 				const result = await removeDependencyDirect(
 					{
-						// Pass the explicitly resolved path
 						tasksJsonPath: tasksJsonPath,
-						// Pass other relevant args
 						id: args.id,
 						dependsOn: args.dependsOn
 					},
@@ -86,6 +73,6 @@ export function registerRemoveDependencyTool(server) {
 				log.error(`Error in removeDependency tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/remove-subtask.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { removeSubtaskDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -46,26 +46,15 @@ export function registerRemoveSubtaskTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log }) => {
 			try {
 				log.info(`Removing subtask with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -77,9 +66,7 @@ export function registerRemoveSubtaskTool(server) {
 
 				const result = await removeSubtaskDirect(
 					{
-						// Pass the explicitly resolved path
 						tasksJsonPath: tasksJsonPath,
-						// Pass other relevant args
 						id: args.id,
 						convert: args.convert,
 						skipGenerate: args.skipGenerate
@@ -98,6 +85,6 @@ export function registerRemoveSubtaskTool(server) {
 				log.error(`Error in removeSubtask tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/remove-task.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { removeTaskDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -35,28 +35,15 @@ export function registerRemoveTaskTool(server) {
 				.optional()
 				.describe('Whether to skip confirmation prompt (default: false)')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log }) => {
 			try {
 				log.info(`Removing task(s) with ID(s): ${args.id}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				log.info(`Using project root: ${rootFolder}`);
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -68,7 +55,6 @@ export function registerRemoveTaskTool(server) {
 
 				log.info(`Using tasks file path: ${tasksJsonPath}`);
 
-				// Assume client has already handled confirmation if needed
 				const result = await removeTaskDirect(
 					{
 						tasksJsonPath: tasksJsonPath,
@@ -88,6 +74,6 @@ export function registerRemoveTaskTool(server) {
 				log.error(`Error in remove-task tool: ${error.message}`);
 				return createErrorResponse(`Failed to remove task: ${error.message}`);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/set-task-status.js

@@ -7,10 +7,11 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { setTaskStatusDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
+import { TASK_STATUS_OPTIONS } from '../../../src/constants/task-status.js';
 
 /**
  * Register the setTaskStatus tool with the MCP server
@@ -27,7 +28,7 @@ export function registerSetTaskStatusTool(server) {
 					"Task ID or subtask ID (e.g., '15', '15.2'). Can be comma-separated to update multiple tasks/subtasks at once."
 				),
 			status: z
-				.string()
+				.enum(TASK_STATUS_OPTIONS)
 				.describe(
 					"New status to set (e.g., 'pending', 'done', 'in-progress', 'review', 'deferred', 'cancelled'."
 				),
@@ -36,26 +37,15 @@ export function registerSetTaskStatusTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log }) => {
 			try {
 				log.info(`Setting status of task(s) ${args.id} to: ${args.status}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -65,19 +55,15 @@ export function registerSetTaskStatusTool(server) {
 					);
 				}
 
-				// Call the direct function with the resolved path
 				const result = await setTaskStatusDirect(
 					{
-						// Pass the explicitly resolved path
 						tasksJsonPath: tasksJsonPath,
-						// Pass other relevant args
 						id: args.id,
 						status: args.status
 					},
 					log
 				);
 
-				// Log the result
 				if (result.success) {
 					log.info(
 						`Successfully updated status for task(s) ${args.id} to "${args.status}": ${result.data.message}`
@@ -88,7 +74,6 @@ export function registerSetTaskStatusTool(server) {
 					);
 				}
 
-				// Format and return the result
 				return handleApiResult(result, log, 'Error setting task status');
 			} catch (error) {
 				log.error(`Error in setTaskStatus tool: ${error.message}`);
@@ -96,6 +81,6 @@ export function registerSetTaskStatusTool(server) {
 					`Error setting task status: ${error.message}`
 				);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/update-subtask.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { updateSubtaskByIdDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -37,30 +37,19 @@ export function registerUpdateSubtaskTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+			const toolName = 'update_subtask';
 			try {
 				log.info(`Updating subtask with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
-					log.error(`Error finding tasks.json: ${error.message}`);
+					log.error(`${toolName}: Error finding tasks.json: ${error.message}`);
 					return createErrorResponse(
 						`Failed to find tasks.json: ${error.message}`
 					);
@@ -68,12 +57,11 @@ export function registerUpdateSubtaskTool(server) {
 
 				const result = await updateSubtaskByIdDirect(
 					{
-						// Pass the explicitly resolved path
 						tasksJsonPath: tasksJsonPath,
-						// Pass other relevant args
 						id: args.id,
 						prompt: args.prompt,
-						research: args.research
+						research: args.research,
+						projectRoot: args.projectRoot
 					},
 					log,
 					{ session }
@@ -89,9 +77,13 @@ export function registerUpdateSubtaskTool(server) {
 
 				return handleApiResult(result, log, 'Error updating subtask');
 			} catch (error) {
-				log.error(`Error in update_subtask tool: ${error.message}`);
-				return createErrorResponse(error.message);
+				log.error(
+					`Critical error in ${toolName} tool execute: ${error.message}`
+				);
+				return createErrorResponse(
+					`Internal tool error (${toolName}): ${error.message}`
+				);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/update-task.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { updateTaskByIdDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -23,7 +23,7 @@ export function registerUpdateTaskTool(server) {
 			'Updates a single task by ID with new information or context provided in the prompt.',
 		parameters: z.object({
 			id: z
-				.string()
+				.string() // ID can be number or string like "1.2"
 				.describe(
 					"ID of the task (e.g., '15') to update. Subtasks are supported using the update-subtask tool."
 				),
@@ -39,61 +39,53 @@ export function registerUpdateTaskTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+			const toolName = 'update_task';
 			try {
-				log.info(`Updating task with args: ${JSON.stringify(args)}`);
+				log.info(
+					`Executing ${toolName} tool with args: ${JSON.stringify(args)}`
+				);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				// Ensure project root was determined
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
-				// Resolve the path to tasks.json
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
+					log.info(`${toolName}: Resolved tasks path: ${tasksJsonPath}`);
 				} catch (error) {
-					log.error(`Error finding tasks.json: ${error.message}`);
+					log.error(`${toolName}: Error finding tasks.json: ${error.message}`);
 					return createErrorResponse(
 						`Failed to find tasks.json: ${error.message}`
 					);
 				}
 
+				// 3. Call Direct Function - Include projectRoot
 				const result = await updateTaskByIdDirect(
 					{
-						// Pass the explicitly resolved path
 						tasksJsonPath: tasksJsonPath,
-						// Pass other relevant args
 						id: args.id,
 						prompt: args.prompt,
-						research: args.research
+						research: args.research,
+						projectRoot: args.projectRoot
 					},
 					log,
 					{ session }
 				);
 
-				if (result.success) {
-					log.info(`Successfully updated task with ID ${args.id}`);
-				} else {
-					log.error(
-						`Failed to update task: ${result.error?.message || 'Unknown error'}`
-					);
-				}
-
+				// 4. Handle Result
+				log.info(
+					`${toolName}: Direct function result: success=${result.success}`
+				);
 				return handleApiResult(result, log, 'Error updating task');
 			} catch (error) {
-				log.error(`Error in update_task tool: ${error.message}`);
-				return createErrorResponse(error.message);
+				log.error(
+					`Critical error in ${toolName} tool execute: ${error.message}`
+				);
+				return createErrorResponse(
+					`Internal tool error (${toolName}): ${error.message}`
+				);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/update.js

@@ -4,10 +4,13 @@
  */
 
 import { z } from 'zod';
-import { handleApiResult, createErrorResponse } from './utils.js';
+import {
+	handleApiResult,
+	createErrorResponse,
+	withNormalizedProjectRoot
+} from './utils.js';
 import { updateTasksDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
-import path from 'path';
 
 /**
  * Register the update tool with the MCP server
@@ -31,58 +34,61 @@ export function registerUpdateTool(server) {
 				.boolean()
 				.optional()
 				.describe('Use Perplexity AI for research-backed updates'),
-			file: z.string().optional().describe('Absolute path to the tasks file'),
+			file: z
+				.string()
+				.optional()
+				.describe('Path to the tasks file relative to project root'),
 			projectRoot: z
 				.string()
-				.describe('The directory of the project. Must be an absolute path.')
+				.optional()
+				.describe(
+					'The directory of the project. (Optional, usually from session)'
+				)
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+			const toolName = 'update';
+			const { from, prompt, research, file, projectRoot } = args;
+
 			try {
-				log.info(`Executing update tool with args: ${JSON.stringify(args)}`);
+				log.info(
+					`Executing ${toolName} tool with normalized root: ${projectRoot}`
+				);
 
-				// 1. Get Project Root
-				const rootFolder = args.projectRoot;
-				if (!rootFolder || !path.isAbsolute(rootFolder)) {
-					return createErrorResponse(
-						'projectRoot is required and must be absolute.'
-					);
-				}
-				log.info(`Project root: ${rootFolder}`);
-
-				// 2. Resolve Path
 				let tasksJsonPath;
 				try {
-					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
-						log
-					);
-					log.info(`Resolved tasks path: ${tasksJsonPath}`);
+					tasksJsonPath = findTasksJsonPath({ projectRoot, file }, log);
+					log.info(`${toolName}: Resolved tasks path: ${tasksJsonPath}`);
 				} catch (error) {
-					log.error(`Error finding tasks.json: ${error.message}`);
+					log.error(`${toolName}: Error finding tasks.json: ${error.message}`);
 					return createErrorResponse(
-						`Failed to find tasks.json: ${error.message}`
+						`Failed to find tasks.json within project root '${projectRoot}': ${error.message}`
 					);
 				}
 
-				// 3. Call Direct Function
 				const result = await updateTasksDirect(
 					{
 						tasksJsonPath: tasksJsonPath,
-						from: args.from,
-						prompt: args.prompt,
-						research: args.research
+						from: from,
+						prompt: prompt,
+						research: research,
+						projectRoot: projectRoot
 					},
 					log,
 					{ session }
 				);
 
-				// 4. Handle Result
-				log.info(`updateTasksDirect result: success=${result.success}`);
+				log.info(
+					`${toolName}: Direct function result: success=${result.success}`
+				);
 				return handleApiResult(result, log, 'Error updating tasks');
 			} catch (error) {
-				log.error(`Critical error in update tool execute: ${error.message}`);
-				return createErrorResponse(`Internal tool error: ${error.message}`);
+				log.error(
+					`Critical error in ${toolName} tool execute: ${error.message}`
+				);
+				return createErrorResponse(
+					`Internal tool error (${toolName}): ${error.message}`
+				);
 			}
-		}
+		})
 	});
 }

mcp-server/src/tools/utils.js

@@ -7,7 +7,7 @@ import { spawnSync } from 'child_process';
 import path from 'path';
 import fs from 'fs';
 import { contextManager } from '../core/context-manager.js'; // Import the singleton
-import { withSessionEnv } from '../core/utils/env-utils.js';
+
 // Import path utilities to ensure consistent path resolution
 import {
 	lastFoundProjectRoot,
@@ -83,10 +83,10 @@ function getProjectRoot(projectRootRaw, log) {
 }
 
 /**
- * Extracts the project root path from the FastMCP session object.
- * @param {Object} session - The FastMCP session object.
- * @param {Object} log - Logger object.
- * @returns {string|null} - The absolute path to the project root, or null if not found.
+ * Extracts and normalizes the project root path from the MCP session object.
+ * @param {Object} session - The MCP session object.
+ * @param {Object} log - The MCP logger object.
+ * @returns {string|null} - The normalized absolute project root path or null if not found/invalid.
  */
 function getProjectRootFromSession(session, log) {
 	try {
@@ -107,68 +107,87 @@ function getProjectRootFromSession(session, log) {
 			})}`
 		);
 
-		// ALWAYS ensure we return a valid path for project root
+		let rawRootPath = null;
+		let decodedPath = null;
+		let finalPath = null;
+
+		// Check primary location
+		if (session?.roots?.[0]?.uri) {
+			rawRootPath = session.roots[0].uri;
+			log.info(`Found raw root URI in session.roots[0].uri: ${rawRootPath}`);
+		}
+		// Check alternate location
+		else if (session?.roots?.roots?.[0]?.uri) {
+			rawRootPath = session.roots.roots[0].uri;
+			log.info(
+				`Found raw root URI in session.roots.roots[0].uri: ${rawRootPath}`
+			);
+		}
+
+		if (rawRootPath) {
+			// Decode URI and strip file:// protocol
+			decodedPath = rawRootPath.startsWith('file://')
+				? decodeURIComponent(rawRootPath.slice(7))
+				: rawRootPath; // Assume non-file URI is already decoded? Or decode anyway? Let's decode.
+			if (!rawRootPath.startsWith('file://')) {
+				decodedPath = decodeURIComponent(rawRootPath); // Decode even if no file://
+			}
+
+			// Handle potential Windows drive prefix after stripping protocol (e.g., /C:/...)
+			if (
+				decodedPath.startsWith('/') &&
+				/[A-Za-z]:/.test(decodedPath.substring(1, 3))
+			) {
+				decodedPath = decodedPath.substring(1); // Remove leading slash if it's like /C:/...
+			}
+
+			log.info(`Decoded path: ${decodedPath}`);
+
+			// Normalize slashes and resolve
+			const normalizedSlashes = decodedPath.replace(/\\/g, '/');
+			finalPath = path.resolve(normalizedSlashes); // Resolve to absolute path for current OS
+
+			log.info(`Normalized and resolved session path: ${finalPath}`);
+			return finalPath;
+		}
+
+		// Fallback Logic (remains the same)
+		log.warn('No project root URI found in session. Attempting fallbacks...');
 		const cwd = process.cwd();
 
-		// If we have a session with roots array
-		if (session?.roots?.[0]?.uri) {
-			const rootUri = session.roots[0].uri;
-			log.info(`Found rootUri in session.roots[0].uri: ${rootUri}`);
-			const rootPath = rootUri.startsWith('file://')
-				? decodeURIComponent(rootUri.slice(7))
-				: rootUri;
-			log.info(`Decoded rootPath: ${rootPath}`);
-			return rootPath;
-		}
-
-		// If we have a session with roots.roots array (different structure)
-		if (session?.roots?.roots?.[0]?.uri) {
-			const rootUri = session.roots.roots[0].uri;
-			log.info(`Found rootUri in session.roots.roots[0].uri: ${rootUri}`);
-			const rootPath = rootUri.startsWith('file://')
-				? decodeURIComponent(rootUri.slice(7))
-				: rootUri;
-			log.info(`Decoded rootPath: ${rootPath}`);
-			return rootPath;
-		}
-
-		// Get the server's location and try to find project root -- this is a fallback necessary in Cursor IDE
-		const serverPath = process.argv[1]; // This should be the path to server.js, which is in mcp-server/
+		// Fallback 1: Use server path deduction (Cursor IDE)
+		const serverPath = process.argv[1];
 		if (serverPath && serverPath.includes('mcp-server')) {
-			// Find the mcp-server directory first
 			const mcpServerIndex = serverPath.indexOf('mcp-server');
 			if (mcpServerIndex !== -1) {
-				// Get the path up to mcp-server, which should be the project root
-				const projectRoot = serverPath.substring(0, mcpServerIndex - 1); // -1 to remove trailing slash
+				const projectRoot = path.dirname(
+					serverPath.substring(0, mcpServerIndex)
+				); // Go up one level
 
-				// Verify this looks like our project root by checking for key files/directories
 				if (
 					fs.existsSync(path.join(projectRoot, '.cursor')) ||
 					fs.existsSync(path.join(projectRoot, 'mcp-server')) ||
 					fs.existsSync(path.join(projectRoot, 'package.json'))
 				) {
-					log.info(`Found project root from server path: ${projectRoot}`);
-					return projectRoot;
+					log.info(
+						`Using project root derived from server path: ${projectRoot}`
+					);
+					return projectRoot; // Already absolute
 				}
 			}
 		}
 
-		// ALWAYS ensure we return a valid path as a last resort
+		// Fallback 2: Use CWD
 		log.info(`Using current working directory as ultimate fallback: ${cwd}`);
-		return cwd;
+		return cwd; // Already absolute
 	} catch (e) {
-		// If we have a server path, use it as a basis for project root
-		const serverPath = process.argv[1];
-		if (serverPath && serverPath.includes('mcp-server')) {
-			const mcpServerIndex = serverPath.indexOf('mcp-server');
-			return mcpServerIndex !== -1
-				? serverPath.substring(0, mcpServerIndex - 1)
-				: process.cwd();
-		}
-
-		// Only use cwd if it's not "/"
+		log.error(`Error in getProjectRootFromSession: ${e.message}`);
+		// Attempt final fallback to CWD on error
 		const cwd = process.cwd();
-		return cwd !== '/' ? cwd : '/';
+		log.warn(
+			`Returning CWD (${cwd}) due to error during session root processing.`
+		);
+		return cwd;
 	}
 }
 
@@ -475,80 +494,143 @@ function createLogWrapper(log) {
 }
 
 /**
- * Resolves and normalizes a project root path
- * @param {string} rawPath - The raw project root path that might be URI encoded
- * @returns {string} Normalized absolute path
+ * Resolves and normalizes a project root path from various formats.
+ * Handles URI encoding, Windows paths, and file protocols.
+ * @param {string | undefined | null} rawPath - The raw project root path.
+ * @param {object} [log] - Optional logger object.
+ * @returns {string | null} Normalized absolute path or null if input is invalid/empty.
  */
-function normalizeProjectRoot(rawPath) {
+function normalizeProjectRoot(rawPath, log) {
 	if (!rawPath) return null;
-
 	try {
-		// Handle URI encoded paths (e.g. /c%20/path/with%20spaces)
-		const decoded = decodeURIComponent(rawPath);
+		let pathString = Array.isArray(rawPath) ? rawPath[0] : String(rawPath);
+		if (!pathString) return null;
 
-		// Convert Windows-style paths if needed
-		const normalized = decoded.replace(/\\/g, '/');
+		// 1. Decode URI Encoding
+		// Use try-catch for decoding as malformed URIs can throw
+		try {
+			pathString = decodeURIComponent(pathString);
+		} catch (decodeError) {
+			if (log)
+				log.warn(
+					`Could not decode URI component for path "${rawPath}": ${decodeError.message}. Proceeding with raw string.`
+				);
+			// Proceed with the original string if decoding fails
+			pathString = Array.isArray(rawPath) ? rawPath[0] : String(rawPath);
+		}
 
-		// Remove any file:// prefix
-		const withoutProtocol = normalized.replace(/^file:\/\//, '');
+		// 2. Strip file:// prefix (handle 2 or 3 slashes)
+		if (pathString.startsWith('file:///')) {
+			pathString = pathString.slice(7); // Slice 7 for file:///, may leave leading / on Windows
+		} else if (pathString.startsWith('file://')) {
+			pathString = pathString.slice(7); // Slice 7 for file://
+		}
 
-		// Ensure absolute path
-		return path.resolve(withoutProtocol);
+		// 3. Handle potential Windows leading slash after stripping prefix (e.g., /C:/...)
+		// This checks if it starts with / followed by a drive letter C: D: etc.
+		if (
+			pathString.startsWith('/') &&
+			/[A-Za-z]:/.test(pathString.substring(1, 3))
+		) {
+			pathString = pathString.substring(1); // Remove the leading slash
+		}
+
+		// 4. Normalize backslashes to forward slashes
+		pathString = pathString.replace(/\\/g, '/');
+
+		// 5. Resolve to absolute path using server's OS convention
+		const resolvedPath = path.resolve(pathString);
+		return resolvedPath;
 	} catch (error) {
+		if (log) {
+			log.error(
+				`Error normalizing project root path "${rawPath}": ${error.message}`
+			);
+		}
+		return null; // Return null on error
+	}
+}
+
+/**
+ * Extracts the raw project root path from the session (without normalization).
+ * Used as a fallback within the HOF.
+ * @param {Object} session - The MCP session object.
+ * @param {Object} log - The MCP logger object.
+ * @returns {string|null} The raw path string or null.
+ */
+function getRawProjectRootFromSession(session, log) {
+	try {
+		// Check primary location
+		if (session?.roots?.[0]?.uri) {
+			return session.roots[0].uri;
+		}
+		// Check alternate location
+		else if (session?.roots?.roots?.[0]?.uri) {
+			return session.roots.roots[0].uri;
+		}
+		return null; // Not found in expected session locations
+	} catch (e) {
+		log.error(`Error accessing session roots: ${e.message}`);
 		return null;
 	}
 }
 
 /**
- * Higher-order function that wraps an MCP tool's execute method to provide:
- * 1. Normalized project root resolution
- * 2. Environment variable setup from both .env and session
- * 3. Error handling
- *
- * @param {Function} executeFn - The original execute function to wrap
- * @returns {Function} Wrapped execute function with project context
+ * Higher-order function to wrap MCP tool execute methods.
+ * Ensures args.projectRoot is present and normalized before execution.
+ * @param {Function} executeFn - The original async execute(args, context) function.
+ * @returns {Function} The wrapped async execute function.
  */
-export function withProjectContext(executeFn) {
+function withNormalizedProjectRoot(executeFn) {
 	return async (args, context) => {
 		const { log, session } = context;
+		let normalizedRoot = null;
+		let rootSource = 'unknown';
 
 		try {
-			// 1. Resolve and normalize project root
-			const rawRoot =
-				args.projectRoot || getProjectRootFromSession(session, log);
-			const projectRoot = normalizeProjectRoot(rawRoot);
+			// Determine raw root: prioritize args, then session
+			let rawRoot = args.projectRoot;
+			if (!rawRoot) {
+				rawRoot = getRawProjectRootFromSession(session, log);
+				rootSource = 'session';
+			} else {
+				rootSource = 'args';
+			}
 
-			if (!projectRoot) {
+			if (!rawRoot) {
+				log.error('Could not determine project root from args or session.');
 				return createErrorResponse(
-					'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
+					'Could not determine project root. Please provide projectRoot argument or ensure session contains root info.'
 				);
 			}
 
-			// 2. Load .env from project root if it exists
-			const envPath = path.join(projectRoot, '.env');
-			let localEnv = {};
+			// Normalize the determined raw root
+			normalizedRoot = normalizeProjectRoot(rawRoot, log);
 
-			if (fs.existsSync(envPath)) {
-				try {
-					localEnv = require('dotenv').config({ path: envPath }).parsed || {};
-				} catch (error) {
-					log.warn(`Failed to load .env from ${envPath}: ${error.message}`);
-				}
+			if (!normalizedRoot) {
+				log.error(
+					`Failed to normalize project root obtained from ${rootSource}: ${rawRoot}`
+				);
+				return createErrorResponse(
+					`Invalid project root provided or derived from ${rootSource}: ${rawRoot}`
+				);
 			}
 
-			// 3. Combine with session env and execute
-			const combinedEnv = {
-				...localEnv,
-				...(session?.env || {})
-			};
+			// Inject the normalized root back into args
+			const updatedArgs = { ...args, projectRoot: normalizedRoot };
 
-			return await withSessionEnv(combinedEnv, async () => {
-				// Pass normalized projectRoot to the execute function
-				return await executeFn({ ...args, projectRoot }, context);
-			});
+			// Execute the original function with normalized root in args
+			return await executeFn(updatedArgs, context);
 		} catch (error) {
-			log.error(`Error in project context: ${error.message}`);
-			return createErrorResponse(error.message);
+			log.error(
+				`Error within withNormalizedProjectRoot HOF (Normalized Root: ${normalizedRoot}): ${error.message}`
+			);
+			// Add stack trace if available and debug enabled
+			if (error.stack && log.debug) {
+				log.debug(error.stack);
+			}
+			// Return a generic error or re-throw depending on desired behavior
+			return createErrorResponse(`Operation failed: ${error.message}`);
 		}
 	};
 }
@@ -563,5 +645,8 @@ export {
 	processMCPResponseData,
 	createContentResponse,
 	createErrorResponse,
-	createLogWrapper
+	createLogWrapper,
+	normalizeProjectRoot,
+	getRawProjectRootFromSession,
+	withNormalizedProjectRoot
 };

mcp-server/src/tools/validate-dependencies.js

@@ -7,7 +7,7 @@ import { z } from 'zod';
 import {
 	handleApiResult,
 	createErrorResponse,
-	getProjectRootFromSession
+	withNormalizedProjectRoot
 } from './utils.js';
 import { validateDependenciesDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
@@ -27,24 +27,15 @@ export function registerValidateDependenciesTool(server) {
 				.string()
 				.describe('The directory of the project. Must be an absolute path.')
 		}),
-		execute: async (args, { log, session }) => {
+		execute: withNormalizedProjectRoot(async (args, { log, session }) => {
 			try {
 				log.info(`Validating dependencies with args: ${JSON.stringify(args)}`);
 
-				// Get project root from args or session
-				const rootFolder =
-					args.projectRoot || getProjectRootFromSession(session, log);
-
-				if (!rootFolder) {
-					return createErrorResponse(
-						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
-					);
-				}
-
+				// Use args.projectRoot directly (guaranteed by withNormalizedProjectRoot)
 				let tasksJsonPath;
 				try {
 					tasksJsonPath = findTasksJsonPath(
-						{ projectRoot: rootFolder, file: args.file },
+						{ projectRoot: args.projectRoot, file: args.file },
 						log
 					);
 				} catch (error) {
@@ -74,6 +65,6 @@ export function registerValidateDependenciesTool(server) {
 				log.error(`Error in validateDependencies tool: ${error.message}`);
 				return createErrorResponse(error.message);
 			}
-		}
+		})
 	});
 }

package-lock.json

@@ -1,12 +1,12 @@
 {
 	"name": "task-master-ai",
-	"version": "0.12.1",
+	"version": "0.13.2",
 	"lockfileVersion": 3,
 	"requires": true,
 	"packages": {
 		"": {
 			"name": "task-master-ai",
-			"version": "0.12.1",
+			"version": "0.13.2",
 			"license": "MIT WITH Commons-Clause",
 			"dependencies": {
 				"@ai-sdk/anthropic": "^1.2.10",
@@ -19,6 +19,9 @@
 				"@anthropic-ai/sdk": "^0.39.0",
 				"@openrouter/ai-sdk-provider": "^0.4.5",
 				"ai": "^4.3.10",
+				"boxen": "^8.0.1",
+				"chalk": "^5.4.1",
+				"cli-table3": "^0.6.5",
 				"commander": "^11.1.0",
 				"cors": "^2.8.5",
 				"dotenv": "^16.3.1",
@@ -34,7 +37,8 @@
 				"ollama-ai-provider": "^1.2.0",
 				"openai": "^4.89.0",
 				"ora": "^8.2.0",
-				"uuid": "^11.1.0"
+				"uuid": "^11.1.0",
+				"zod": "^3.23.8"
 			},
 			"bin": {
 				"task-master": "bin/task-master.js",
@@ -45,9 +49,6 @@
 				"@changesets/changelog-github": "^0.5.1",
 				"@changesets/cli": "^2.28.1",
 				"@types/jest": "^29.5.14",
-				"boxen": "^8.0.1",
-				"chalk": "^5.4.1",
-				"cli-table3": "^0.6.5",
 				"execa": "^8.0.1",
 				"ink": "^5.0.1",
 				"jest": "^29.7.0",
@@ -57,8 +58,7 @@
 				"prettier": "^3.5.3",
 				"react": "^18.3.1",
 				"supertest": "^7.1.0",
-				"tsx": "^4.16.2",
-				"zod": "^3.23.8"
+				"tsx": "^4.16.2"
 			},
 			"engines": {
 				"node": ">=14.0.0"
@@ -1238,7 +1238,6 @@
 			"version": "1.5.0",
 			"resolved": "https://registry.npmjs.org/@colors/colors/-/colors-1.5.0.tgz",
 			"integrity": "sha512-ooWCrlZP11i8GImSjTHYHLkvFDP48nS4+204nGb1RiX/WXYHmJA2III9/e2DWVabCESdW7hBAEzHRqUn9OUVvQ==",
-			"dev": true,
 			"license": "MIT",
 			"optional": true,
 			"engines": {
@@ -3307,7 +3306,6 @@
 			"version": "3.0.1",
 			"resolved": "https://registry.npmjs.org/ansi-align/-/ansi-align-3.0.1.tgz",
 			"integrity": "sha512-IOfwwBF5iczOjp/WeY4YxyjqAFMQoZufdQWDd19SEExbVLNXqvpzSJ/M7Za4/sCPmQ0+GRquoA7bGcINcxew6w==",
-			"dev": true,
 			"license": "ISC",
 			"dependencies": {
 				"string-width": "^4.1.0"
@@ -3317,7 +3315,6 @@
 			"version": "5.0.1",
 			"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
 			"integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
-			"dev": true,
 			"license": "MIT",
 			"engines": {
 				"node": ">=8"
@@ -3327,14 +3324,12 @@
 			"version": "8.0.0",
 			"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
 			"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
-			"dev": true,
 			"license": "MIT"
 		},
 		"node_modules/ansi-align/node_modules/string-width": {
 			"version": "4.2.3",
 			"resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
 			"integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
-			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"emoji-regex": "^8.0.0",
@@ -3349,7 +3344,6 @@
 			"version": "6.0.1",
 			"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
 			"integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
-			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"ansi-regex": "^5.0.1"
@@ -3699,7 +3693,6 @@
 			"version": "8.0.1",
 			"resolved": "https://registry.npmjs.org/boxen/-/boxen-8.0.1.tgz",
 			"integrity": "sha512-F3PH5k5juxom4xktynS7MoFY+NUWH5LC4CnH11YB8NPew+HLpmBLCybSAEyb2F+4pRXhuhWqFesoQd6DAyc2hw==",
-			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"ansi-align": "^3.0.1",
@@ -3850,7 +3843,6 @@
 			"version": "8.0.0",
 			"resolved": "https://registry.npmjs.org/camelcase/-/camelcase-8.0.0.tgz",
 			"integrity": "sha512-8WB3Jcas3swSvjIeA2yvCJ+Miyz5l1ZmB6HFb9R1317dt9LCQoswg/BGrmAmkWVEszSrrg4RwmO46qIm2OEnSA==",
-			"dev": true,
 			"license": "MIT",
 			"engines": {
 				"node": ">=16"
@@ -3935,7 +3927,6 @@
 			"version": "3.0.0",
 			"resolved": "https://registry.npmjs.org/cli-boxes/-/cli-boxes-3.0.0.tgz",
 			"integrity": "sha512-/lzGpEWL/8PfI0BmBOPRwp0c/wFNX1RdUML3jK/RcSBA9T8mZDdQpqYBKtCFTOfQbwPqWEOpjqW+Fnayc0969g==",
-			"dev": true,
 			"license": "MIT",
 			"engines": {
 				"node": ">=10"
@@ -3975,7 +3966,6 @@
 			"version": "0.6.5",
 			"resolved": "https://registry.npmjs.org/cli-table3/-/cli-table3-0.6.5.tgz",
 			"integrity": "sha512-+W/5efTR7y5HRD7gACw9yQjqMVvEMLBHmboM/kPWam+H+Hmyrgjh6YncVKK122YZkXrLudzTuAukUw9FnMf7IQ==",
-			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"string-width": "^4.2.0"
@@ -3991,7 +3981,6 @@
 			"version": "5.0.1",
 			"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
 			"integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
-			"dev": true,
 			"license": "MIT",
 			"engines": {
 				"node": ">=8"
@@ -4001,14 +3990,12 @@
 			"version": "8.0.0",
 			"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
 			"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
-			"dev": true,
 			"license": "MIT"
 		},
 		"node_modules/cli-table3/node_modules/string-width": {
 			"version": "4.2.3",
 			"resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
 			"integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
-			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"emoji-regex": "^8.0.0",
@@ -4023,7 +4010,6 @@
 			"version": "6.0.1",
 			"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
 			"integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
-			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"ansi-regex": "^5.0.1"
@@ -9488,7 +9474,6 @@
 			"version": "4.37.0",
 			"resolved": "https://registry.npmjs.org/type-fest/-/type-fest-4.37.0.tgz",
 			"integrity": "sha512-S/5/0kFftkq27FPNye0XM1e2NsnoD/3FS+pBmbjmmtLT6I+i344KoOf7pvXreaFsDamWeaJX55nczA1m5PsBDg==",
-			"dev": true,
 			"license": "(MIT OR CC0-1.0)",
 			"engines": {
 				"node": ">=16"
@@ -9698,7 +9683,6 @@
 			"version": "5.0.0",
 			"resolved": "https://registry.npmjs.org/widest-line/-/widest-line-5.0.0.tgz",
 			"integrity": "sha512-c9bZp7b5YtRj2wOe6dlj32MK+Bx/M/d+9VB2SHM1OtsUHR0aV0tdP6DWh/iMt0kWi1t5g1Iudu6hQRNd1A4PVA==",
-			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"string-width": "^7.0.0"
@@ -9714,7 +9698,6 @@
 			"version": "9.0.0",
 			"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-9.0.0.tgz",
 			"integrity": "sha512-G8ura3S+3Z2G+mkgNRq8dqaFZAuxfsxpBB8OCTGRTCtp+l/v9nbFNmCUP1BZMts3G1142MsZfn6eeUKrr4PD1Q==",
-			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"ansi-styles": "^6.2.1",
@@ -9732,7 +9715,6 @@
 			"version": "6.2.1",
 			"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
 			"integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
-			"dev": true,
 			"license": "MIT",
 			"engines": {
 				"node": ">=12"

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "task-master-ai",
-	"version": "0.12.1",
+	"version": "0.14.0-rc.0",
 	"description": "A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.",
 	"main": "index.js",
 	"type": "module",
@@ -49,6 +49,9 @@
 		"@anthropic-ai/sdk": "^0.39.0",
 		"@openrouter/ai-sdk-provider": "^0.4.5",
 		"ai": "^4.3.10",
+		"boxen": "^8.0.1",
+		"chalk": "^5.4.1",
+		"cli-table3": "^0.6.5",
 		"commander": "^11.1.0",
 		"cors": "^2.8.5",
 		"dotenv": "^16.3.1",
@@ -64,7 +67,8 @@
 		"ollama-ai-provider": "^1.2.0",
 		"openai": "^4.89.0",
 		"ora": "^8.2.0",
-		"uuid": "^11.1.0"
+		"uuid": "^11.1.0",
+		"zod": "^3.23.8"
 	},
 	"engines": {
 		"node": ">=14.0.0"
@@ -78,15 +82,14 @@
 		"url": "https://github.com/eyaltoledano/claude-task-master/issues"
 	},
 	"files": [
-		"scripts/init.js",
-		"scripts/dev.js",
-		"scripts/modules/**",
+		"scripts/**",
 		"assets/**",
 		".cursor/**",
 		"README-task-master.md",
 		"index.js",
 		"bin/**",
-		"mcp-server/**"
+		"mcp-server/**",
+		"src/**"
 	],
 	"overrides": {
 		"node-fetch": "^3.3.2",
@@ -96,9 +99,6 @@
 		"@changesets/changelog-github": "^0.5.1",
 		"@changesets/cli": "^2.28.1",
 		"@types/jest": "^29.5.14",
-		"boxen": "^8.0.1",
-		"chalk": "^5.4.1",
-		"cli-table3": "^0.6.5",
 		"execa": "^8.0.1",
 		"ink": "^5.0.1",
 		"jest": "^29.7.0",
@@ -108,7 +108,6 @@
 		"prettier": "^3.5.3",
 		"react": "^18.3.1",
 		"supertest": "^7.1.0",
-		"tsx": "^4.16.2",
-		"zod": "^3.23.8"
+		"tsx": "^4.16.2"
 	}
 }

scripts/README.md

@@ -32,7 +32,7 @@ The script can be configured through environment variables in a `.env` file at t
 - `PERPLEXITY_API_KEY`: Your Perplexity API key for research-backed subtask generation
 - `PERPLEXITY_MODEL`: Specify which Perplexity model to use (default: "sonar-medium-online")
 - `DEBUG`: Enable debug logging (default: false)
-- `LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
+- `TASKMASTER_LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
 - `DEFAULT_SUBTASKS`: Default number of subtasks when expanding (default: 3)
 - `DEFAULT_PRIORITY`: Default priority for generated tasks (default: medium)
 - `PROJECT_NAME`: Override default project name in tasks.json
@@ -225,7 +225,7 @@ To use the Perplexity integration:
 
 ## Logging
 
-The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
+The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
 
 - `debug`: Detailed information, typically useful for troubleshooting
 - `info`: Confirmation that things are working as expected (default)