py-mcp-qdrant-rag

Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.

→ amornpan/py-mcp-qdrant-rag · listed on glama

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// 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/amornpan-py-mcp-qdrant-rag-7eltvp)](https://m8ven.ai/mcp/amornpan-py-mcp-qdrant-rag-7eltvp)

commit: 16f8059fa3c3b5a80371063fb6c90648effaf335

code hash: cf98207654f3ba91a5e369e51631757008bbf1176fb4d1a9c91e1e8a6846ea4f

verified: 4/18/2026, 6:35:15 PM

view raw JSON →