Neo4j
Leading native graph database with the Cypher query language, vector search, and a mature GraphRAG ecosystem.
MCPCLI10 Skills
About Neo4j
Leading native graph database with the Cypher query language, vector search, and a mature GraphRAG ecosystem. Explore how Neo4j integrates with the agentic data stack ecosystem and supports autonomous data operations.
Key Features
- Native graph storage with index-free adjacency for fast multi-hop traversals
- Cypher declarative graph query language, with GQL (ISO/IEC 39075) alignment
- Native vector indexes for combining semantic similarity search with graph traversal
- Graph Data Science library with 65+ algorithms: centrality, community detection, path finding, embeddings
- GraphRAG tooling (neo4j-graphrag Python package) for knowledge-graph-backed retrieval
- Official MCP server exposing schema inspection and read/write Cypher tools to agents
- Official drivers for Python, Java, JavaScript, Go, and .NET over the Bolt protocol
- Neo4j AuraDB fully managed cloud service with Aura CLI for provisioning
Agent Integration
MCP Server
neo4j/mcpExternal Links
Neo4j MCP Server Documentation
Official docs for installing and configuring the Neo4j MCP server with AI agents and IDEs
Neo4j Labs MCP Servers
Labs MCP servers for Cypher, data modeling, Aura management, and agent memory
Neo4j Agent Skills
Agent skills for Cypher, modeling, GraphRAG, GDS, import, drivers, and more
GraphRAG for Python
Official package for building knowledge-graph retrieval pipelines on Neo4j
Aura CLI
Command-line tool for managing Neo4j AuraDB instances and tenants