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1 month ago
glama

rag-retrieval-mcp

Enables retrieval-augmented generation by embedding queries with a chosen provider (e.g., OpenAI) and searching supported vector stores (Pinecone, pgvector) to return relevant content.

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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.
// 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 1 concrete improvement 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/maryamzi-rag-retrieval-mcp-e29rjd)](https://m8ven.ai/mcp/maryamzi-rag-retrieval-mcp-e29rjd)
commit: 1f5b2cf730119a64d2f3bf9c622388892a9d1a7d
code hash: 06fa49a1111cae6aacfebb73c94ef1abb9ef8a2f234183e95af29a852f62539a
verified: 6/11/2026, 12:09:11 PM
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