BjornMelin/qdrant-neo4j-crawl4ai-mcp
MCP server combining Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence with agentic RAG capabilities. FastMCP 2.0 architecture with enterprise security, monitoring, and Kubernetes deployment. AI/ML engineering powerhouse.
This is a ready-to-use server that helps you combine information from various sources to answer complex questions. You provide it with a question, and it gathers relevant content from websites, finds connections in your internal knowledge graphs, and uses semantic search to pull out key facts. The output is a more comprehensive and accurate answer, ideal for AI engineers building sophisticated AI assistants or automated analysis tools.
No commits in the last 6 months.
Use this if you need to build advanced AI systems that can intelligently combine real-time web data, structured internal knowledge, and semantic search capabilities to answer complex queries.
Not ideal if you're looking for a simple chatbot or a tool to perform basic keyword searches, as its power lies in orchestrating multiple advanced AI services.
Stars
8
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jun 28, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/BjornMelin/qdrant-neo4j-crawl4ai-mcp"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qdrant/mcp-server-qdrant
An official Qdrant Model Context Protocol (MCP) server implementation
mhalder/qdrant-mcp-server
MCP server for semantic search using local Qdrant vector database and OpenAI embeddings
pvliesdonk/markdown-vault-mcp
Generic markdown collection MCP server with FTS5 + semantic search, frontmatter-aware indexing,...
n-r-w/knowledgegraph-mcp
MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with...
tomschell/personal-kg-mcp
Personal Knowledge Graph MCP Server - Decision intelligence for multi-agent workflows