feat(research): Adds MCP tool for command
- New MCP Tool: research tool enables AI-powered research with project context - Context Integration: Supports task IDs, file paths, custom context, and project tree - Fuzzy Task Discovery: Automatically finds relevant tasks using semantic search - Token Management: Detailed token counting and breakdown by context type - Multiple Detail Levels: Support for low, medium, and high detail research responses - Telemetry Integration: Full cost tracking and usage analytics - Direct Function: researchDirect with comprehensive parameter validation - Silent Mode: Prevents console output interference with MCP JSON responses - Error Handling: Robust error handling with proper MCP response formatting This completes subtasks 94.5 (Direct Function) and 94.6 (MCP Tool) for the research command implementation, providing a powerful research interface for integrated development environments like Cursor. Updated documentation across taskmaster.mdc, README.md, command-reference.md, examples.md, tutorial.md, and docs/README.md to highlight research capabilities and usage patterns.
This commit is contained in:
17
.changeset/moody-results-clean.md
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17
.changeset/moody-results-clean.md
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@@ -0,0 +1,17 @@
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---
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'task-master-ai': minor
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---
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Add comprehensive `research` MCP tool for AI-powered research queries
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- **New MCP Tool**: `research` tool enables AI-powered research with project context
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- **Context Integration**: Supports task IDs, file paths, custom context, and project tree
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- **Fuzzy Task Discovery**: Automatically finds relevant tasks using semantic search
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- **Token Management**: Detailed token counting and breakdown by context type
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- **Multiple Detail Levels**: Support for low, medium, and high detail research responses
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- **Telemetry Integration**: Full cost tracking and usage analytics
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- **Direct Function**: `researchDirect` with comprehensive parameter validation
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- **Silent Mode**: Prevents console output interference with MCP JSON responses
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- **Error Handling**: Robust error handling with proper MCP response formatting
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This completes subtasks 94.5 (Direct Function) and 94.6 (MCP Tool) for the research command implementation, providing a powerful research interface for integrated development environments like Cursor.
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@@ -366,6 +366,43 @@ This document provides a detailed reference for interacting with Taskmaster, cov
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---
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## AI-Powered Research
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### 25. Research (`research`)
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* **MCP Tool:** `research`
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* **CLI Command:** `task-master research [options]`
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* **Description:** `Perform AI-powered research queries with project context to get fresh, up-to-date information beyond the AI's knowledge cutoff.`
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* **Key Parameters/Options:**
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* `query`: `Required. Research query/prompt (e.g., "What are the latest best practices for React Query v5?").` (CLI: `[query]` positional or `-q, --query <text>`)
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* `taskIds`: `Comma-separated list of task/subtask IDs for context (e.g., "15,16.2,17").` (CLI: `-i, --id <ids>`)
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* `filePaths`: `Comma-separated list of file paths for context (e.g., "src/api.js,docs/readme.md").` (CLI: `-f, --files <paths>`)
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* `customContext`: `Additional custom context text to include in the research.` (CLI: `-c, --context <text>`)
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* `includeProjectTree`: `Include project file tree structure in context (default: false).` (CLI: `--tree`)
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* `detailLevel`: `Detail level for the research response: 'low', 'medium', 'high' (default: medium).` (CLI: `--detail <level>`)
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* `projectRoot`: `The directory of the project. Must be an absolute path.` (CLI: Determined automatically)
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* **Usage:** **This is a POWERFUL tool that agents should use FREQUENTLY** to:
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* Get fresh information beyond knowledge cutoff dates
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* Research latest best practices, library updates, security patches
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* Find implementation examples for specific technologies
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* Validate approaches against current industry standards
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* Get contextual advice based on project files and tasks
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* **When to Consider Using Research:**
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* **Before implementing any task** - Research current best practices
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* **When encountering new technologies** - Get up-to-date implementation guidance (libraries, apis, etc)
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* **For security-related tasks** - Find latest security recommendations
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* **When updating dependencies** - Research breaking changes and migration guides
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* **For performance optimization** - Get current performance best practices
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* **When debugging complex issues** - Research known solutions and workarounds
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* **Research + Action Pattern:**
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* Use `research` to gather fresh information
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* Use `update_subtask` to commit findings with timestamps
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* Use `update_task` to incorporate research into task details
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* Use `add_task` with research flag for informed task creation
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* **Important:** This MCP tool makes AI calls and can take up to a minute to complete. The research provides FRESH data beyond the AI's training cutoff, making it invaluable for current best practices and recent developments.
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---
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## File Management
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### 24. Generate Task Files (`generate`)
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@@ -132,6 +132,8 @@ Use your AI assistant to:
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- Implement a task: `Can you help me implement task 3?`
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- View multiple tasks: `Can you show me tasks 1, 3, and 5?`
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- Expand a task: `Can you help me expand task 4?`
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- **Research fresh information**: `Research the latest best practices for implementing JWT authentication with Node.js`
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- **Research with context**: `Research React Query v5 migration strategies for our current API implementation in src/api.js`
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[More examples on how to use Task Master in chat](docs/examples.md)
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@@ -177,6 +179,9 @@ task-master next
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# Show specific task(s) - supports comma-separated IDs
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task-master show 1,3,5
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# Research fresh information with project context
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task-master research "What are the latest best practices for JWT authentication?"
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# Generate task files
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task-master generate
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```
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@@ -9,7 +9,7 @@ Welcome to the Task Master documentation. Use the links below to navigate to the
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## Reference
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- [Command Reference](command-reference.md) - Complete list of all available commands (including new multi-task viewing)
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- [Command Reference](command-reference.md) - Complete list of all available commands (including research and multi-task viewing)
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- [Task Structure](task-structure.md) - Understanding the task format and features
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## Examples & Licensing
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@@ -280,3 +280,42 @@ task-master models --setup
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```
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Configuration is stored in `.taskmasterconfig` in your project root. API keys are still managed via `.env` or MCP configuration. Use `task-master models` without flags to see available built-in models. Use `--setup` for a guided experience.
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## Research Fresh Information
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```bash
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# Perform AI-powered research with fresh, up-to-date information
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task-master research "What are the latest best practices for JWT authentication in Node.js?"
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# Research with specific task context
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task-master research "How to implement OAuth 2.0?" --id=15,16
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# Research with file context for code-aware suggestions
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task-master research "How can I optimize this API implementation?" --files=src/api.js,src/auth.js
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# Research with custom context and project tree
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task-master research "Best practices for error handling" --context="We're using Express.js" --tree
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# Research with different detail levels
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task-master research "React Query v5 migration guide" --detail=high
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# Save research results to a file
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task-master research "Database optimization techniques" --save=research/db-optimization.md
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```
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**The research command is a powerful tool that provides:**
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- **Fresh information beyond AI knowledge cutoffs**
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- **Project-aware context** from your tasks and files
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- **Automatic task discovery** using fuzzy search
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- **Multiple detail levels** (low, medium, high)
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- **Token counting and cost tracking**
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- **Interactive follow-up questions**
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**Use research frequently to:**
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- Get current best practices before implementing features
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- Research new technologies and libraries
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- Find solutions to complex problems
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- Validate your implementation approaches
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- Stay updated with latest security recommendations
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@@ -123,3 +123,56 @@ Please add a new task to implement user profile image uploads using Cloudinary,
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```
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(Agent runs: `task-master add-task --prompt="Implement user profile image uploads using Cloudinary" --research`)
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## Research-Driven Development
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### Getting Fresh Information
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```
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Research the latest best practices for implementing JWT authentication in Node.js applications.
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```
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(Agent runs: `task-master research "Latest best practices for JWT authentication in Node.js"`)
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### Research with Project Context
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```
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I'm working on task 15 which involves API optimization. Can you research current best practices for our specific implementation?
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```
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(Agent runs: `task-master research "API optimization best practices" --id=15 --files=src/api.js`)
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### Research Before Implementation
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```
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Before I implement task 8 (React Query integration), can you research the latest React Query v5 patterns and any breaking changes?
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```
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(Agent runs: `task-master research "React Query v5 patterns and breaking changes" --id=8`)
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### Research and Update Pattern
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```
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Research the latest security recommendations for Express.js applications and update our authentication task with the findings.
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```
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(Agent runs:
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1. `task-master research "Latest Express.js security recommendations" --id=12`
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2. `task-master update-subtask --id=12.3 --prompt="Updated with latest security findings: [research results]"`)
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### Research for Debugging
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```
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I'm having issues with our WebSocket implementation in task 20. Can you research common WebSocket problems and solutions?
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```
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(Agent runs: `task-master research "Common WebSocket implementation problems and solutions" --id=20 --files=src/websocket.js`)
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### Research Technology Comparisons
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```
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We need to choose between Redis and Memcached for caching. Can you research the current recommendations for our use case?
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```
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(Agent runs: `task-master research "Redis vs Memcached 2024 comparison for session caching" --tree`)
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@@ -443,3 +443,55 @@ Can you analyze the complexity of our tasks to help me understand which ones nee
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```
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Can you show me the complexity report in a more readable format?
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```
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### Research-Driven Development
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Task Master includes a powerful research tool that provides fresh, up-to-date information beyond the AI's knowledge cutoff. This is particularly valuable for:
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#### Getting Current Best Practices
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```
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Before implementing task 5 (authentication), research the latest JWT security recommendations.
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```
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The agent will execute:
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```bash
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task-master research "Latest JWT security recommendations 2024" --id=5
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```
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#### Research with Project Context
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```
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Research React Query v5 migration strategies for our current API implementation.
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```
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The agent will execute:
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```bash
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task-master research "React Query v5 migration strategies" --files=src/api.js,src/hooks.js
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```
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#### Research and Update Pattern
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A powerful workflow is to research first, then update tasks with findings:
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```
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Research the latest Node.js performance optimization techniques and update task 12 with the findings.
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```
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The agent will:
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1. Run research: `task-master research "Node.js performance optimization 2024" --id=12`
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2. Update the task: `task-master update-subtask --id=12.2 --prompt="Updated with latest performance findings: [research results]"`
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#### When to Use Research
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- **Before implementing any new technology**
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- **When encountering security-related tasks**
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- **For performance optimization tasks**
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- **When debugging complex issues**
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- **Before making architectural decisions**
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- **When updating dependencies**
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The research tool automatically includes relevant project context and provides fresh information that can significantly improve implementation quality.
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159
mcp-server/src/core/direct-functions/research.js
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159
mcp-server/src/core/direct-functions/research.js
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/**
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* research.js
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* Direct function implementation for AI-powered research queries
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*/
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import { performResearch } from '../../../../scripts/modules/task-manager.js';
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import {
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enableSilentMode,
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disableSilentMode
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} from '../../../../scripts/modules/utils.js';
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import { createLogWrapper } from '../../tools/utils.js';
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/**
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* Direct function wrapper for performing AI-powered research with project context.
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*
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* @param {Object} args - Command arguments
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* @param {string} args.query - Research query/prompt (required)
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* @param {string} [args.taskIds] - Comma-separated list of task/subtask IDs for context
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* @param {string} [args.filePaths] - Comma-separated list of file paths for context
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* @param {string} [args.customContext] - Additional custom context text
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* @param {boolean} [args.includeProjectTree=false] - Include project file tree in context
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* @param {string} [args.detailLevel='medium'] - Detail level: 'low', 'medium', 'high'
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* @param {string} [args.projectRoot] - Project root path
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* @param {Object} log - Logger object
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* @param {Object} context - Additional context (session)
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* @returns {Promise<Object>} - Result object { success: boolean, data?: any, error?: { code: string, message: string } }
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*/
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export async function researchDirect(args, log, context = {}) {
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// Destructure expected args
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const {
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query,
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taskIds,
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filePaths,
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customContext,
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includeProjectTree = false,
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detailLevel = 'medium',
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projectRoot
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} = args;
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const { session } = context; // Destructure session from context
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// Enable silent mode to prevent console logs from interfering with JSON response
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enableSilentMode();
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// Create logger wrapper using the utility
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const mcpLog = createLogWrapper(log);
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try {
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// Check required parameters
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if (!query || typeof query !== 'string' || query.trim().length === 0) {
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log.error('Missing or invalid required parameter: query');
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'MISSING_PARAMETER',
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message:
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'The query parameter is required and must be a non-empty string'
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}
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};
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}
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// Parse comma-separated task IDs if provided
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const parsedTaskIds = taskIds
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? taskIds
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.split(',')
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.map((id) => id.trim())
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.filter((id) => id.length > 0)
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: [];
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// Parse comma-separated file paths if provided
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const parsedFilePaths = filePaths
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? filePaths
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.split(',')
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.map((path) => path.trim())
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.filter((path) => path.length > 0)
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: [];
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// Validate detail level
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const validDetailLevels = ['low', 'medium', 'high'];
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if (!validDetailLevels.includes(detailLevel)) {
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log.error(`Invalid detail level: ${detailLevel}`);
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'INVALID_PARAMETER',
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message: `Detail level must be one of: ${validDetailLevels.join(', ')}`
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}
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};
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}
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log.info(
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`Performing research query: "${query.substring(0, 100)}${query.length > 100 ? '...' : ''}", ` +
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`taskIds: [${parsedTaskIds.join(', ')}], ` +
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`filePaths: [${parsedFilePaths.join(', ')}], ` +
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`detailLevel: ${detailLevel}, ` +
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`includeProjectTree: ${includeProjectTree}, ` +
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`projectRoot: ${projectRoot}`
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);
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// Prepare options for the research function
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const researchOptions = {
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taskIds: parsedTaskIds,
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filePaths: parsedFilePaths,
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customContext: customContext || '',
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includeProjectTree,
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detailLevel,
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projectRoot
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};
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// Prepare context for the research function
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const researchContext = {
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session,
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mcpLog,
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commandName: 'research',
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outputType: 'mcp'
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};
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// Call the performResearch function
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const result = await performResearch(
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query.trim(),
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researchOptions,
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researchContext,
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'json', // outputFormat - use 'json' to suppress CLI UI
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false // allowFollowUp - disable for MCP calls
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);
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// Restore normal logging
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disableSilentMode();
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return {
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success: true,
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data: {
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query: result.query,
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result: result.result,
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contextSize: result.contextSize,
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contextTokens: result.contextTokens,
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tokenBreakdown: result.tokenBreakdown,
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systemPromptTokens: result.systemPromptTokens,
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userPromptTokens: result.userPromptTokens,
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totalInputTokens: result.totalInputTokens,
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detailLevel: result.detailLevel,
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telemetryData: result.telemetryData
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}
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};
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} catch (error) {
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// Make sure to restore normal logging even if there's an error
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disableSilentMode();
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log.error(`Error in researchDirect: ${error.message}`);
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return {
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success: false,
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error: {
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code: error.code || 'RESEARCH_ERROR',
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message: error.message
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}
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};
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}
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}
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@@ -31,6 +31,7 @@ import { removeTaskDirect } from './direct-functions/remove-task.js';
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import { initializeProjectDirect } from './direct-functions/initialize-project.js';
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import { modelsDirect } from './direct-functions/models.js';
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import { moveTaskDirect } from './direct-functions/move-task.js';
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import { researchDirect } from './direct-functions/research.js';
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// Re-export utility functions
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export { findTasksJsonPath } from './utils/path-utils.js';
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@@ -62,7 +63,8 @@ export const directFunctions = new Map([
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['removeTaskDirect', removeTaskDirect],
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['initializeProjectDirect', initializeProjectDirect],
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['modelsDirect', modelsDirect],
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['moveTaskDirect', moveTaskDirect]
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['moveTaskDirect', moveTaskDirect],
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['researchDirect', researchDirect]
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]);
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// Re-export all direct function implementations
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@@ -92,5 +94,6 @@ export {
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removeTaskDirect,
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initializeProjectDirect,
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modelsDirect,
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moveTaskDirect
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||||
moveTaskDirect,
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||||
researchDirect
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||||
};
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||||
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@@ -29,6 +29,7 @@ import { registerRemoveTaskTool } from './remove-task.js';
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import { registerInitializeProjectTool } from './initialize-project.js';
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import { registerModelsTool } from './models.js';
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import { registerMoveTaskTool } from './move-task.js';
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import { registerResearchTool } from './research.js';
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/**
|
||||
* Register all Task Master tools with the MCP server
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||||
@@ -74,6 +75,9 @@ export function registerTaskMasterTools(server) {
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registerRemoveDependencyTool(server);
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||||
registerValidateDependenciesTool(server);
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||||
registerFixDependenciesTool(server);
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||||
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||||
// Group 7: AI-Powered Features
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registerResearchTool(server);
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} catch (error) {
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logger.error(`Error registering Task Master tools: ${error.message}`);
|
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throw error;
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||||
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||||
82
mcp-server/src/tools/research.js
Normal file
82
mcp-server/src/tools/research.js
Normal file
@@ -0,0 +1,82 @@
|
||||
/**
|
||||
* tools/research.js
|
||||
* Tool to perform AI-powered research queries with project context
|
||||
*/
|
||||
|
||||
import { z } from 'zod';
|
||||
import {
|
||||
createErrorResponse,
|
||||
handleApiResult,
|
||||
withNormalizedProjectRoot
|
||||
} from './utils.js';
|
||||
import { researchDirect } from '../core/task-master-core.js';
|
||||
|
||||
/**
|
||||
* Register the research tool with the MCP server
|
||||
* @param {Object} server - FastMCP server instance
|
||||
*/
|
||||
export function registerResearchTool(server) {
|
||||
server.addTool({
|
||||
name: 'research',
|
||||
description: 'Perform AI-powered research queries with project context',
|
||||
parameters: z.object({
|
||||
query: z.string().describe('Research query/prompt (required)'),
|
||||
taskIds: z
|
||||
.string()
|
||||
.optional()
|
||||
.describe(
|
||||
'Comma-separated list of task/subtask IDs for context (e.g., "15,16.2,17")'
|
||||
),
|
||||
filePaths: z
|
||||
.string()
|
||||
.optional()
|
||||
.describe(
|
||||
'Comma-separated list of file paths for context (e.g., "src/api.js,docs/readme.md")'
|
||||
),
|
||||
customContext: z
|
||||
.string()
|
||||
.optional()
|
||||
.describe('Additional custom context text to include in the research'),
|
||||
includeProjectTree: z
|
||||
.boolean()
|
||||
.optional()
|
||||
.describe(
|
||||
'Include project file tree structure in context (default: false)'
|
||||
),
|
||||
detailLevel: z
|
||||
.enum(['low', 'medium', 'high'])
|
||||
.optional()
|
||||
.describe('Detail level for the research response (default: medium)'),
|
||||
projectRoot: z
|
||||
.string()
|
||||
.describe('The directory of the project. Must be an absolute path.')
|
||||
}),
|
||||
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
|
||||
try {
|
||||
log.info(
|
||||
`Starting research with query: "${args.query.substring(0, 100)}${args.query.length > 100 ? '...' : ''}"`
|
||||
);
|
||||
|
||||
// Call the direct function
|
||||
const result = await researchDirect(
|
||||
{
|
||||
query: args.query,
|
||||
taskIds: args.taskIds,
|
||||
filePaths: args.filePaths,
|
||||
customContext: args.customContext,
|
||||
includeProjectTree: args.includeProjectTree || false,
|
||||
detailLevel: args.detailLevel || 'medium',
|
||||
projectRoot: args.projectRoot
|
||||
},
|
||||
log,
|
||||
{ session }
|
||||
);
|
||||
|
||||
return handleApiResult(result, log);
|
||||
} catch (error) {
|
||||
log.error(`Error in research tool: ${error.message}`);
|
||||
return createErrorResponse(error.message);
|
||||
}
|
||||
})
|
||||
});
|
||||
}
|
||||
Reference in New Issue
Block a user