mcp-server-qdrant-enhanced
Verified Safeby triepod-ai
Overview
Enhanced Model Context Protocol server for Qdrant vector database providing GPU-accelerated, multi-vector, and collection-specific embedding models for intelligent document storage and retrieval.
Installation
docker run -it --rm --gpus all --network host -e QDRANT_URL="http://localhost:6333" -e COLLECTION_NAME="enhanced-collection" -e FASTEMBED_CUDA="true" ghcr.io/triepod-ai/mcp-server-qdrant-enhanced:latestEnvironment Variables
- QDRANT_URL
- COLLECTION_NAME
- FASTEMBED_CUDA
- QDRANT_API_KEY
- EMBEDDING_MODEL
- QDRANT_AUTO_CREATE_COLLECTIONS
- QDRANT_ENABLE_QUANTIZATION
- QDRANT_HNSW_EF_CONSTRUCT
- QDRANT_HNSW_M
- COLLECTION_MODEL_MAPPINGS
- CUSTOM_MODEL_CONFIGS
- CUDA_VISIBLE_DEVICES
Security Notes
The server employs `TransportSecuritySettings` to configure `allowed_hosts` and `allowed_origins` for its HTTP transport, which is a good practice against DNS rebinding and CORS attacks. Sensitive credentials like `QDRANT_API_KEY` are handled via environment variables. Extensive use of `subprocess.run` with `shell=True` (e.g., `bash -c`) is present in development and testing scripts for system orchestration; while common in this context, it always warrants caution if inputs were untrusted, but here they appear internally controlled. The HTTP server binds to `0.0.0.0` by default (standard for Docker), meaning it's exposed on all network interfaces, requiring external firewall/reverse proxy considerations if deployed publicly.
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