- 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.
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Add comprehensive research MCP tool for AI-powered research queries
- New MCP Tool:
researchtool 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:
researchDirectwith 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.