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.

→ sujalg4888/rag_based_mcp_server_using_pinecone · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 1 credential: PINECONE_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

🔐 secretPINECONE_KEY— your_pinecone_api_key

configPINECONE_INDEX— your_index_name

configMCP_HOST— /MCP_PORT env vars override the listen address (default

configMCP_PORT— MCP_HOST/ env vars override the listen address (default

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/sujalg4888-rag-based-mcp-server-using-pinecone-hr8bmm)](https://m8ven.ai/mcp/sujalg4888-rag-based-mcp-server-using-pinecone-hr8bmm)

commit: dfc00a9f48575b7355facc31455008771c950771

code hash: b837b355fc1c246a1a71e83289b24c8fc96f290fbbc8c1d813b2b42c70fac2db

verified: 6/26/2026, 9:36:24 AM

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