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MCP Module Implementation Plan for NotPatrick RAG

Overview

Create a new MCP module that exposes the NotPatrick RAG functionality through a FastMCP server for LibreChat integration.

Implementation Steps

1. Add FastMCP Dependency

  • Add fastmcp to pyproject.toml dependencies
  • Update project to support the new MCP module

2. Create MCP Module Structure

src/
  mcp/
    __init__.py
    main.py      # FastMCP server implementation

3. Implement Basic FastMCP Server

  • Create "hello world" MCP server in src/mcp/main.py
  • Add a simple hello_world tool that returns a greeting
  • Configure server to run on http://localhost:8000/mcp as expected by LibreChat
  • Test integration with LibreChat to ensure MCP wiring works correctly

4. Extract RAG Logic

  • Create rag.py to encapsulate the RAG setup logic from src/query/main.py
  • Extract the chat engine initialization, Pinecone setup, and query processing
  • Make it reusable for both CLI and MCP interfaces
  • Add query_podcast tool to MCP server

5. Create Docker Configuration

  • Create Dockerfile for containerizing the MCP server
  • Create docker-compose.yml for easy deployment
  • Ensure environment variables are properly configured
  • Test containerized deployment

6. Update CLAUDE.md

  • Document the new MCP module and how to run it
  • Add commands: uv run -m mcp.main and Docker instructions
  • Document LibreChat integration steps

Key Features (Phase 1)

  • Tool: hello_world() -> str - Simple greeting to test MCP integration

Key Features (Phase 2)

  • Tool: query_podcast(question: str) -> str - Query the podcast knowledge base
  • Resource: Potentially expose available episodes/metadata

Benefits

  • Test MCP integration early with simple functionality
  • Containerized deployment for easy LibreChat integration
  • Incremental development approach
  • Maintains separation between CLI and web interfaces

Development Approach

  1. Start with minimal MCP server to verify LibreChat integration
  2. Incrementally add RAG functionality
  3. Containerize for production deployment
  4. Document for easy setup and maintenance