Neo4j Graph
This Neo4j MCP server, developed by the Rebots team, enables seamless integration between Large Language Models and Neo4j graph databases through the Model Context Protocol. Built with TypeScript and leveraging the Neo4j driver, it provides tools for creating, reading, updating, and deleting graph data structures. The implementation stands out by offering flexible configuration via environment variables and improved error handling, making it adaptable for various deployment scenarios. It's particularly useful for AI applications requiring complex relationship modeling, knowledge graph construction, or graph-based analytics, enabling tasks like recommendation systems, fraud detection, or network analysis with natural language interfaces.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/rebots-online/mcp-neo4j
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Neo4j Graph from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.