MCP RAG Server

Enables retrieval-augmented generation (RAG) by indexing and searching through documents (Markdown, text, PowerPoint, PDF) using vector embeddings with multilingual-e5-large model and PostgreSQL pgvector. Supports contextual chunk retrieval and incremental indexing for efficient document management.

→ karaage0703/mcp-rag-server · 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.

✅

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/karaage0703-mcp-rag-server-1j8x4x)](https://m8ven.ai/mcp/karaage0703-mcp-rag-server-1j8x4x)

commit: d407ed5817a1d36f5e94289d2868677876b4758c

code hash: 4c73c4c2843f3268bb7dd45673b8b717b1f597a7211d0c37952e2291cc553dc7

verified: 4/18/2026, 6:44:29 PM

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