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glama

RAG MCP Server

Provides tools for ingesting documents into a local vector database and retrieving relevant information via semantic search, enabling retrieval-augmented generation for MCP clients.

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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: LLAMA_CLOUD_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.
🔐 secretLLAMA_CLOUD_API_KEY
configLLAMA_RAG_DB_DIR1. environment variable (highest priority)
configLLAMA_RAG_DATA_DIR1. environment variable (highest priority)
// 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/alejandro-ao-simple-mcp-rag-1i0nvq)](https://m8ven.ai/mcp/alejandro-ao-simple-mcp-rag-1i0nvq)
commit: 0338362b8c0075ebffffe9f166fde198bb94b4e9
code hash: e619a78b53e656ff8ceba79612bd66952d1f49f4af3227f2a3cf03e266685225
verified: 6/23/2026, 10:40:57 AM
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