RAG-MCP

Item: RAG-MCP
Rating: 69
Author: M8ven

A Retrieval Augmented Generation MCP server that ingests documents into a local vector database and enables semantic search queries.

→ alejandro-ao/RAG-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.

🔐

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.

configLLAMA_RAG_DB_DIR— Database Directory: The ChromaDB database is persisted in ~/.local/share/rag-server by default, but this can be overridden with the environment variable.

configXDG_DATA_HOME

configLLAMA_RAG_DATA_DIR— Data Directory: Files to be ingested should be placed in a data directory in the project's root, or a custom path can be specified using the environment variable.

🔐 secretLLAMA_CLOUD_API_KEY— 2. Parsing with LlamaParse: If a is set, the server uses LlamaParse to extract text from supported file types (.pdf, .docx, .pptx, etc.). If the key is not set, parsing will be limited.

// 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/alejandro-ao-rag-mcp-1hjz4h)](https://m8ven.ai/mcp/alejandro-ao-rag-mcp-1hjz4h)

commit: 4a078011eb66c957cf743f0e22ee7be62a0cc164

code hash: 3924fcf5f5ae4abcd5e30f4bc8cccd6e5e2bdc601e0aa32af0917dba3c27a202

verified: 6/24/2026, 10:11:43 AM

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