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:
Eyal Toledano
2025-05-25 20:16:48 -04:00
parent 1e020023ed
commit 023f51c579
11 changed files with 454 additions and 3 deletions

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@@ -9,7 +9,7 @@ Welcome to the Task Master documentation. Use the links below to navigate to the
## Reference
- [Command Reference](command-reference.md) - Complete list of all available commands (including new multi-task viewing)
- [Command Reference](command-reference.md) - Complete list of all available commands (including research and multi-task viewing)
- [Task Structure](task-structure.md) - Understanding the task format and features
## Examples & Licensing

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@@ -280,3 +280,42 @@ task-master models --setup
```
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.
## Research Fresh Information
```bash
# Perform AI-powered research with fresh, up-to-date information
task-master research "What are the latest best practices for JWT authentication in Node.js?"
# Research with specific task context
task-master research "How to implement OAuth 2.0?" --id=15,16
# Research with file context for code-aware suggestions
task-master research "How can I optimize this API implementation?" --files=src/api.js,src/auth.js
# Research with custom context and project tree
task-master research "Best practices for error handling" --context="We're using Express.js" --tree
# Research with different detail levels
task-master research "React Query v5 migration guide" --detail=high
# Save research results to a file
task-master research "Database optimization techniques" --save=research/db-optimization.md
```
**The research command is a powerful tool that provides:**
- **Fresh information beyond AI knowledge cutoffs**
- **Project-aware context** from your tasks and files
- **Automatic task discovery** using fuzzy search
- **Multiple detail levels** (low, medium, high)
- **Token counting and cost tracking**
- **Interactive follow-up questions**
**Use research frequently to:**
- Get current best practices before implementing features
- Research new technologies and libraries
- Find solutions to complex problems
- Validate your implementation approaches
- 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,
```
(Agent runs: `task-master add-task --prompt="Implement user profile image uploads using Cloudinary" --research`)
## Research-Driven Development
### Getting Fresh Information
```
Research the latest best practices for implementing JWT authentication in Node.js applications.
```
(Agent runs: `task-master research "Latest best practices for JWT authentication in Node.js"`)
### Research with Project Context
```
I'm working on task 15 which involves API optimization. Can you research current best practices for our specific implementation?
```
(Agent runs: `task-master research "API optimization best practices" --id=15 --files=src/api.js`)
### Research Before Implementation
```
Before I implement task 8 (React Query integration), can you research the latest React Query v5 patterns and any breaking changes?
```
(Agent runs: `task-master research "React Query v5 patterns and breaking changes" --id=8`)
### Research and Update Pattern
```
Research the latest security recommendations for Express.js applications and update our authentication task with the findings.
```
(Agent runs:
1. `task-master research "Latest Express.js security recommendations" --id=12`
2. `task-master update-subtask --id=12.3 --prompt="Updated with latest security findings: [research results]"`)
### Research for Debugging
```
I'm having issues with our WebSocket implementation in task 20. Can you research common WebSocket problems and solutions?
```
(Agent runs: `task-master research "Common WebSocket implementation problems and solutions" --id=20 --files=src/websocket.js`)
### Research Technology Comparisons
```
We need to choose between Redis and Memcached for caching. Can you research the current recommendations for our use case?
```
(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
```
Can you show me the complexity report in a more readable format?
```
### Research-Driven Development
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:
#### Getting Current Best Practices
```
Before implementing task 5 (authentication), research the latest JWT security recommendations.
```
The agent will execute:
```bash
task-master research "Latest JWT security recommendations 2024" --id=5
```
#### Research with Project Context
```
Research React Query v5 migration strategies for our current API implementation.
```
The agent will execute:
```bash
task-master research "React Query v5 migration strategies" --files=src/api.js,src/hooks.js
```
#### Research and Update Pattern
A powerful workflow is to research first, then update tasks with findings:
```
Research the latest Node.js performance optimization techniques and update task 12 with the findings.
```
The agent will:
1. Run research: `task-master research "Node.js performance optimization 2024" --id=12`
2. Update the task: `task-master update-subtask --id=12.2 --prompt="Updated with latest performance findings: [research results]"`
#### When to Use Research
- **Before implementing any new technology**
- **When encountering security-related tasks**
- **For performance optimization tasks**
- **When debugging complex issues**
- **Before making architectural decisions**
- **When updating dependencies**
The research tool automatically includes relevant project context and provides fresh information that can significantly improve implementation quality.