neo4j-gdsofficial
A
license-
qualityB
maintenanceEnables LLMs to run complex graph algorithms on Neo4j databases, answering graph-related questions by selecting and executing appropriate parameterised graph algorithms.
96
MIT
71,061 servers. Updated
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Matching MCP tools:
"Neo4j" matching MCP servers:
- MIT
- Flicense-qualityCmaintenanceNeo4j MCP Canary is a fast-moving, experimental release of the Neo4j MCP server for customers who want to explore emerging capabilities before they are considered for the official server.2
mem0-mcpofficial
AlicenseAqualityCmaintenanceSelf-hosted Mem0 MCP server integrating Qdrant, Neo4j, and Ollama for semantic memory search, graph entity relationships, and memory management via OpenMemory API.63MIT
Geniro Graphiti MCPofficial
Alicense-qualityBmaintenanceA Model Context Protocol server that provides Claude CLI with a Graphiti knowledge-graph memory backed by Neo4j, featuring synchronous writes and no silent ingestion failures.Apache 2.0
Ontolocy MCP Serverofficial
Alicense-qualityDmaintenanceAugments an LLM with Ontolocy cyber graph capabilities, enabling natural language queries against a Neo4j graph database populated with MITRE ATT\&CK data.1MIT
Graphiti MCP Serverofficial
Alicense-qualityDmaintenanceA knowledge graph server for AI agents, built with Neo4j and integrated with Model Context Protocol, enabling dynamic graph management and semantic search.142MIT
Fieldnote MCPofficial
Flicense-quality-maintenanceProvides local-first memory storage and retrieval with automatic embedding, vector search, and knowledge graph capabilities. Enables agents to store memories locally and retrieve relevant context through hybrid search with optional Neo4j graph traversal.
kb-gatewayofficial
Flicense-qualityBmaintenanceHTTP MCP gateway for a learning corpus that enables remote agents to perform semantic search, graph queries, and routing via Pinecone and Neo4j without direct database credentials.- Flicense-qualityBmaintenanceEnables querying a Neo4j knowledge graph about Wroclaw University of Science and Technology using natural language. Converts user questions into Cypher queries and retrieves contextual information through an intelligent RAG pipeline with LLM-powered query routing.5
