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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.