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io.github.jaimenbell/rag-mcp

Official

by jaimenbell · Python

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.

io.github.jaimenbell/rag-mcp (MCP)

The io.github.jaimenbell/rag-mcp server provides minimal RAG-over-a-corpus MCP retrieval. It exposes a retrieval capability via search_knowledge, which returns cited chunks from a local corpus. It also uses local embeddings for the retrieval workflow.

🛠️ Key Features

  • Minimal RAG-over-a-corpus retrieval
  • search_knowledge tool returns cited chunks
  • Local embeddings for retrieval

🚀 Use Cases

  • Retrieve relevant passages from a local corpus
  • Build RAG applications that require citations for returned chunks

⚡ Developer Benefits

  • Deterministic retrieval centered on search_knowledge
  • Returned results include cited chunks
  • Avoids external embedding services by using local embeddings

⚠️ Limitations

  • Described as minimal and focused specifically on RAG-over-a-corpus retrieval

Topics

embeddingsmcpmodel-context-protocolragvector-search
io.github.jaimenbell/rag-mcp - agentage MCP Catalog