RAG Document Server

A deterministic MCP server for document processing and retrieval that enables AI agents to process, chunk, and vector-search documents without an LLM.

→ Vamshi9415/docrag-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.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 2 credentials: GOOGLE_API_KEY, OPENAI_API_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.

🔐 secretGOOGLE_API_KEY— Note: No is needed for the server — it contains no LLM.

🔐 secretOPENAI_API_KEY— cp .env.example .env # add your GOOGLE_API_KEY or

configGPU_CONCURRENCY— =2 # max concurrent FAISS build/retrieval ops (default: 2)

configMCP_RATE_LIMIT_RPM— =60 # requests per minute per user (default: 60)

configMCP_REQUEST_TIMEOUT— =300 # seconds per tool call (default: 300)

// 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/vamshi9415-docrag-mcp-1jwuiy)](https://m8ven.ai/mcp/vamshi9415-docrag-mcp-1jwuiy)

commit: 23371ea8efef0f052f92482e9a5ca192dc752ad1

code hash: ed230f8fcf981d3152bb73d950967be0dc5fbfa78cc7cdab84e2600bc0ac4530

verified: 6/22/2026, 12:41:50 PM

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