Neo4j Graph Database
Neo4j MCP Server provides a bridge between AI assistants and Neo4j graph databases, enabling complex graph data exploration and analysis through the Model Context Protocol. Built with Python using FastMCP, it exposes database schema information as resources and offers tools to execute Cypher queries against Neo4j databases. The implementation includes predefined prompt templates for common graph analysis tasks like relationship analysis, path discovery, and community detection, making it particularly valuable for workflows requiring graph-based data exploration, pattern recognition, and knowledge graph navigation.
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/ujjalcal/mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Neo4j Graph Database 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.