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qdrant-mcp

MCP server that gives AI coding agents persistent, semantic memory via Qdrant vector search, enabling workspace-aware codebase, documentation, and decision search.

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// key findings
⚠️
Known vulnerabilities in dependencies: 3 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
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.
🔐
You'll be asked for 2 credentials: OPENAI_API_KEY, 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.
configEMBEDDING_PROVIDER"": "openai",
configINDEX_EXCLUDE
configINDEX_INCLUDE
configOLLAMA_EMBEDDING_MODELnomic-embed-text # 768 dim
configOLLAMA_URL
🔐 secretOPENAI_API_KEYsk-your-key-here
configOPENAI_EMBEDDING_MODELtext-embedding-3-small # 1536 dim, ~$0.02/1M tokens
configPROJECT_ROOT/path/to/your/project
🔐 secretQDRANT_API_KEY
configQDRANT_URL"": "http://localhost:6333",
// 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/dutchakdev-qdrant-mcp-1a1b1t)](https://m8ven.ai/mcp/dutchakdev-qdrant-mcp-1a1b1t)
commit: 277481cbaf42ded3fe43ca0473ca60987a483fd7
code hash: 42a736f0c0671e133196c8f8929b529fcfb3e894453fa40a5927ec584dcfc734
verified: 6/23/2026, 10:34:55 AM
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