rag-mcp-server-pinecone
Enables searching and asking questions over your PDF documents using a Pinecone vector index with local embeddings and language model, no external LLM API key required.
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- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
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Install
No one-command install. Set it up from its source.
Alternatives · MCPs
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What it is
Enables searching and asking questions over your PDF documents using a Pinecone vector index with local embeddings and language model, no external LLM API key required.
When to use it
Enables searching and asking questions over your PDF documents using a Pinecone vector index with local embeddings and language model, no external LLM API key required.
How to install / invoke
See Glama for the install config.
Notes
Listed from the Glama MCP registry.