41
grade D
10 days ago
pulsemcp

Qdrant with OpenAI Embeddings

Connects AI systems to Qdrant vector databases for semantic search using OpenAI embeddings, enabling contextual document retrieval and knowledge base querying.

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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/amansingh0311-mcp-qdrant-openai-luri0j)](https://m8ven.ai/mcp/amansingh0311-mcp-qdrant-openai-luri0j)
commit: 1f79a9b913521938c924ccacd528ac87f3458fbe
code hash: e13cb80181add4909eb57e6968059f430c0009d994f163e8356aaba40e7500e0
verified: 4/11/2026, 1:55:44 PM
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