RFC MCP

This is a weekend project to create a simple RAG application that stores embeddings of text documents using Qdrant, and a MCP server to query this Vector Database, and a MCP client using Claude to interact.

Steps

1. Jupyter notebook idx_qdrant.ipynb has the Python code to index documents into Qdrant.
2. Copy .env.example to .env and fill in the values.
3. Run the MCP server using ./run_server.sh.
4. In another terminal, run the MCP client using ./run_client.sh.