qdrant-neo4j-crawl4ai-mcp
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The Qdrant Neo4j Crawl4AI MCP Server is a production-ready agentic RAG MCP server that integrates vector search, knowledge graphs, and web intelligence for autonomous orchestration.
The Qdrant Neo4j Crawl4AI MCP Server is a sophisticated platform designed to provide intelligent and autonomous coordination of multiple AI services through a unified Model Context Protocol (MCP) interface. It leverages the power of Qdrant for vector intelligence, Neo4j for graph intelligence, and Crawl4AI for web intelligence, creating a comprehensive solution for retrieval-augmented generation (RAG) tasks. This server is built with enterprise-grade security, monitoring, and deployment capabilities, making it suitable for production environments. The architecture is designed to facilitate seamless integration and orchestration of AI services, enabling efficient query routing and result fusion. With its modern technology stack, including FastMCP 2.0 and Python 3.11+, the server supports asynchronous operations and type safety, ensuring robust and scalable performance. The platform is containerized using Docker, allowing for easy deployment and management across various environments.
Features
- Vector Intelligence: Utilizes Qdrant for semantic search and embedding storage.
- Graph Intelligence: Employs Neo4j for knowledge graphs and memory systems.
- Web Intelligence: Integrates Crawl4AI for smart web crawling and content extraction.
- Agentic Orchestration: Provides autonomous query routing and result fusion.
- Production-Ready: Includes enterprise security, monitoring, and deployment patterns.