Neo4j Knowledge Graph
MCP Neo4j Memory Server provides a knowledge graph storage solution for AI assistants using Neo4j as the backend database. Built by JovanHsu, this implementation enables storing and retrieving contextual information in a graph structure, making it particularly effective for maintaining complex relationships between data points. The server integrates with the Model Context Protocol SDK and uses Fuse.js for fuzzy searching capabilities, allowing AI models to efficiently query and update their memory. Ideal for applications requiring persistent memory across conversations and sophisticated knowledge representation.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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/jovanhsu/mcp-neo4j-memory-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Neo4j Knowledge 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.