rag-mcp

Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.

→ Kamalesh-Kavin/rag-mcp · listed on glama

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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.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configOLLAMA_BASE_URL

configOLLAMA_EMBED_MODEL

configCHROMA_PERSIST_DIR

configCHROMA_COLLECTION

configCHUNK_SIZE

configCHUNK_OVERLAP

configDOCUMENTS_DIR

// 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 6 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/kamalesh-kavin-rag-mcp-gn1g1i)](https://m8ven.ai/mcp/kamalesh-kavin-rag-mcp-gn1g1i)

commit: 140c78cadbfd22499f9af631b3aa340b22391ba7

code hash: 76f4fd5890138885011333bdb64ae75f9b8bddbc96274ce5bcde36d4dde27d8b

verified: 6/22/2026, 12:24:00 PM

view raw JSON →