41
grade D
5 days ago
glama

FAQ RAG MCP Server

Enables semantic search and question-answering over FAQ documents using RAG (Retrieval-Augmented Generation) with OpenAI embeddings and in-memory vector similarity.

Install from

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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.
// 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/rhamsagar-sf-rag-mcp-project-wx7yf4)](https://m8ven.ai/mcp/rhamsagar-sf-rag-mcp-project-wx7yf4)
commit: 8bc2ea9bd4648ab0a0b3330f53c1f9791d43adf6
code hash: 47599983352fa0d77b7ca0d6921fd8c0bc6f39c389ed256e7cfc85e4adc08a1d
verified: 4/18/2026, 7:04:22 PM
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