Markdown RAG

A Retrieval Augmented Generation system that enables AI assistants to perform semantic searches and manage document indices for markdown files. It supports PostgreSQL with pgvector and integrates both Google Gemini and Ollama for intelligent embedding generation.

→ ashrobertsdragon/rag-mcp · listed on glama

Install from

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.

// 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/ashrobertsdragon-rag-mcp-13iynm)](https://m8ven.ai/mcp/ashrobertsdragon-rag-mcp-13iynm)

commit: a7369e0e4416297189b8784814720726fe3f9c40

code hash: 5bccd2e44a2722076919522c7ae10764d89b35aff10db42fa7f1559179db4acf

verified: 4/11/2026, 3:26:13 PM

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