mcp_qrant

Item: mcp_qrant
Rating: 41
Author: M8ven

Provides a unified interface for storing and querying vector databases, currently supporting Qdrant with self-embedding and semantic search.

→ didierphmartin/mcp_qrant · 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.

🔐

You'll be asked for 2 credentials: MCPQ_OPENAI_API_KEY, MCPQ_QDRANT_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

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

configMCPQ_PROVIDERS_DIR— ./providers Directory of provider JSON descriptors

configMCPQ_HOST— 127.0.0.1 Bind address

configMCPQ_PORT— 8008 ./.venv/bin/python server.py

🔐 secretMCPQ_OPENAI_API_KEY

configMCPQ_COLLECTION

configMCPQ_PGVECTOR_DSN

configMCPQ_EMBEDDING

configMCPQ_QDRANT_MODE

configMCPQ_QDRANT_URL

🔐 secretMCPQ_QDRANT_API_KEY

configMCPQ_QDRANT_PATH

// 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/didierphmartin-mcp-qrant-f4lt6n)](https://m8ven.ai/mcp/didierphmartin-mcp-qrant-f4lt6n)

commit: f64777d757bd687fe5497fccfa02627d8bb1a047

code hash: 4d150d91f258768376f0cef38e3b0f6f906fd9f1bf5fb5f418e8779558b17af9

verified: 6/24/2026, 9:41:51 AM

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