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7 days ago
glama

Qdrant MCP Server

A unified Docker container that runs Qdrant vector database and provides REST API and MCP interfaces for vector storage and semantic search, compatible with Claude vector hooks.

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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 1 credential: 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.
configQDRANT_MCP_CONFIG
configQDRANT_DATA_PATHData storage path (default: /qdrant/storage)
configQDRANT_SNAPSHOTS_PATHSnapshots path (default: /qdrant/snapshots)
configQDRANT_LOG_PATH
configQDRANT_HOSTQdrant server host (default: localhost)
configQDRANT_PORTQdrant server port (default: 6333)
configQDRANT_GRPC_PORT
configCOLLECTION_NAMEDefault collection (default: claude_vectors)
configEMBEDDING_MODELModel name (default: all-MiniLM-L6-v2)
configVECTOR_SIZEVector dimensions (default: 384)
configMAX_TOKENSMax tokens before vectorization (default: 512)
configTOP_K
configMIN_SCORE
configAPI_HOSTAPI server host (default: 0.0.0.0)
configAPI_PORTAPI server port (default: 8000)
configAPI_LOG_LEVEL
configMCP_PORTMCP HTTP server port (default: 8001)
configMCP_SERVER_NAME
configMCP_SERVER_VERSION
configLOG_PATH
configLOG_LEVEL
🔐 secretAPI_KEYOptional API key for authentication
configENABLE_TLSEnable HTTPS (default: false)
configQDRANT_MCP_HOST
configQDRANT_MCP_PORT
configQDRANT_MCP_APIexport ="http://your-server:8000"
configQDRANT_MCP_VERIFY_SSL
configQDRANT_MCP_SSL_CERT
configQDRANT_MCP_CA_BUNDLE
configQDRANT_MCP_CA_CERTS_DIR
configREQUESTS_CA_BUNDLE
// 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 4 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/stigenai-qdrant-mcp-lzyx93)](https://m8ven.ai/mcp/stigenai-qdrant-mcp-lzyx93)
commit: ef9dda918bf817e42e41723ec8384cc55def2338
code hash: cfa053ff517c6c02d1ee985ffd500fb03efa8b4f5944a473cb2f3d3e777584cc
verified: 6/22/2026, 12:48:18 PM
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