AI MCP System

An MCP-compatible RAG backend using LangGraph and FastAPI, enabling chaining of AI model logic with document context search.

→ venkatanaveen2078909-rgb/MCP-server · 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: GROQ_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.

🔐 secretGROQ_API_KEY— your_groq_api_key_here

// 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 2 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/venkatanaveen2078909-rgb-mcp-server-1if40u)](https://m8ven.ai/mcp/venkatanaveen2078909-rgb-mcp-server-1if40u)

commit: 42d9b8ae2667725424bf606a0cbdc041efa793bb

code hash: 7830582481103792188dc9b0a83c89ca1f831eac690b7f824640f8b820e4ff8c

verified: 6/18/2026, 11:37:53 AM

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