RAG Query MCP Server

Item: RAG Query MCP Server
Rating: 69
Author: M8ven

Enables querying a hybrid-retrieval RAG pipeline (dense + BM25) over ingested PDF documents, returning answers generated by Gemini.

→ Akashbakshi99/RAG-Using-LangChain-MCP · 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.

// required environment variables

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

configNLTK_DATA

// 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 5 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/akashbakshi99-rag-using-langchain-mcp-1t49hl)](https://m8ven.ai/mcp/akashbakshi99-rag-using-langchain-mcp-1t49hl)

commit: de0b55bbf8d0877273b946bae5a306a891fad5f6

code hash: 3b9a07bb5ede7d2192df26976155da7791b6c427f826d2e7873aee9bb60774fb

verified: 7/12/2026, 8:31:32 AM

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