Enhanced Qdrant MCP Server
Production-ready MCP server with GPU acceleration, multi-vector support, and automated deployment infrastructure
Enhanced Qdrant MCP Server is a production-ready fork of the original mcp-server-qdrant that transforms the basic MCP server into an enterprise-grade solution. Built for AI developers, enterprise teams, and DevOps engineers who need reliable, high-performance vector search capabilities. The original mcp-server-qdrant provides a solid foundation, but lacks the advanced features needed for production workloads. This enhanced version bridges that gap by adding GPU acceleration through FastEmbed optimization, smart model selection with automatic 384D/768D/1024D embedding routing based on content type, and zero-config deployment via interactive setup script and dual installation methods. Perfect for semantic search applications, content platforms requiring collection-specific embedding models, and research projects leveraging multiple embedding dimensions for comparative analysis. The separation of concerns design ensures optimal resource utilization and independent scaling while maintaining full backward compatibility.
Key Metrics
Features
10x Performance Boost
GPU acceleration and FastEmbed optimization deliver unprecedented speed improvements over the original server.
Smart Model Selection
Automatic 384D/768D/1024D embedding routing based on content type for optimal accuracy and performance.
Zero-Config Deployment
Interactive setup script and dual installation methods (NPM + Docker) for instant production deployment.
Production Infrastructure
Complete CI/CD pipelines, multi-architecture builds, and comprehensive security scanning.
Enterprise Architecture
Separation of concerns design with MCP server for embeddings and Qdrant for storage ensures optimal scaling.
Full Compatibility
Maintains complete backward compatibility with the original mcp-server-qdrant while adding enterprise features.