Neo4j
Neo4j MCP Servers provide natural language interfaces to Neo4j graph databases through three specialized components: mcp-neo4j-cypher for executing Cypher queries, mcp-neo4j-memory for storing knowledge graph data in Neo4j, and mcp-json-memory as a file-based reference implementation. The project uses TypeScript for the memory servers and Python for the Cypher server, with a shared graphrag-memory library defining the knowledge graph interface. These servers enable users to query graph data, manage entities and relationships, and build persistent memory structures through Claude Desktop or any MCP client, making complex graph operations accessible through conversational 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/guanxinyuan/neo4j
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Neo4j 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.