PyTorch Documentation Search Tool

# PyTorch Documentation Search - MCP Integration Migration Report ## Executive Summary This report summarizes the current state of the PyTorch Documentation Search tool's integration with Claude Code CLI via the Model-Context Protocol (MCP). The integration has been successfully fixed to address connection issues, UVX configuration problems, and other technical barriers that previously prevented successful deployment. ## Current Implementation Status ### Core Components 1. **MCP Server Implementation**: - Two transport implementations now working correctly: - STDIO (`ptsearch/transport/stdio.py`): Direct JSON-RPC over standard input/output - SSE/Flask (`ptsearch/transport/sse.py`): Server-Sent Events over HTTP - Both share common search functionality via `SearchEngine` - Tool descriptor standardized across implementations 2. **Server Launcher**: - Unified entry point in `mcp_server_pytorch/__main__.py` - Configurable transport selection (STDIO or SSE) - Enhanced logging and error reporting - Improved environment validation - Added data directory configuration 3. **Registration Scripts**: - Direct STDIO registration: `register_mcp.sh` (fixed tool name) - UVX integration: `.uvx/tool.json` (fixed configuration) 4. **Testing Tools**: - MCP protocol tester: `tests/test_mcp_protocol.py` - Runtime validation scripts ### Key Files | File | Purpose | Status | |------|---------|--------| | `ptsearch/transport/sse.py` | Flask-based SSE transport implementation | Fixed | | `ptsearch/transport/stdio.py` | STDIO transport implementation | Fixed | | `mcp_server_pytorch/__main__.py` | Unified entry point | Enhanced | | `.uvx/tool.json` | UVX configuration | Fixed | | `run_mcp.sh` | STDIO launcher script | Fixed | | `run_mcp_uvx.sh` | UVX launcher script | Fixed | | `register_mcp.sh` | Claude CLI tool registration (STDIO) | Fixed | | `docs/MCP_INTEGRATION.md` | Integration documentation | Updated | ## Technical Issues Fixed ### Connection Problems The following issues preventing successful integration have been fixed: 1. **UVX Configuration**: - Fixed invalid bash command with literal ellipses in `.uvx/tool.json` - Updated to use UVX-native approach with direct calls to the packaged entry point - Added environment variable configuration for OpenAI API key 2. **OpenAI API Key Handling**: - Added explicit environment variable checking in run scripts - Added proper validation with clear error messages - Included the key in the UVX environment configuration 3. **Tool Name Mismatch**: - Fixed registration scripts to use the correct name from the descriptor (`search_pytorch_docs`) - Standardized name references across all scripts and documentation 4. **Data Directory Configuration**: - Added `--data-dir` command line parameter - Implemented path configuration for all data files - Added validation to ensure data files are found 5. **Transport Implementation**: - Resolved conflicts between different implementation approaches - Standardized on the MCP package implementation with proper JSON-RPC transport ## Migration Status The MCP integration is now complete with the following components fixed or enhanced: 1. ✅ Core search functionality 2. ✅ MCP tool descriptor definition 3. ✅ STDIO transport implementation 4. ✅ SSE transport implementation 5. ✅ Server launcher with transport selection 6. ✅ Registration scripts 7. ✅ Connection stability and reliability 8. ✅ Proper error handling and reporting 9. ✅ UVX configuration validation 10. ✅ Documentation updates ## Testing Results The following tests were performed to validate the fixes: 1. **UVX Launch Test** - Command: `uvx mcp-server-pytorch --transport sse --port 5000 --data-dir ./data` - Result: Server launches successfully 2. **MCP Registration Test** - Command: `claude mcp add search_pytorch_docs http://localhost:5000/events --transport sse` - Result: Tool registers successfully 3. **Query Test** - Command: `claude run tool search_pytorch_docs --input '{"query": "DataLoader"}'` - Result: Returns relevant documentation snippets ## Next Steps Moving forward, the following enhancements are recommended: 1. **Enhanced Data Validation**: - Add validation on startup to provide clearer error messages for missing or invalid data files - Implement automatic fallback for common data directory structures 2. **Configuration Management**: - Create a configuration file for persistent settings - Implement a setup script that automates the process of building the data files 3. **Additional Features**: - Add support for more filter types - Implement caching for frequent queries - Create a dashboard for monitoring API usage and performance 4. **Security Enhancements**: - Add authentication to the API endpoint for public deployments - Improve environment variable handling for sensitive information ## Deliverables The following artifacts are provided: 1. **This updated migration report**: Overview of fixed issues and current status 2. **Updated integration documentation** (`MCP_INTEGRATION.md`): Complete setup and usage guide 3. **Fixed code repository**: With all implementations and scripts working correctly 4. **Test scripts**: For validating protocol and functionality ## Conclusion The PyTorch Documentation Search tool has been successfully integrated with Claude Code CLI through MCP. The fixes addressed all critical connection issues, configuration problems, and technical barriers. The tool now provides reliable semantic search capabilities for PyTorch documentation through both STDIO and SSE transports, with proper UVX integration for easy deployment.