# Neo4j Knowledge Graph

> Use this tool when you need to store and retrieve complex, contextual information in a graph structure, enabling AI assistants to maintain persistent memory across conversations and sophisticated knowledge representation. It solves problems of data relationships and querying, accepting inputs of contextual data and outputting relevant information through fuzzy searching capabilities. Ideal for applications requiring advanced knowledge graph storage and retrieval, such as conversational AI and complex data analysis.

Canonical page: https://skillsregistry.net/skills/jovanhsu-neo4j-knowledge-graph  
JSON: https://api.skillsregistry.net/v1/skills/jovanhsu-neo4j-knowledge-graph

## Description

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.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jovanhsu-neo4j-knowledge-graph)
- **Repository:** <https://github.com/jovanhsu/mcp-neo4j-memory-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jovanhsu-neo4j-knowledge-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jovanhsu-neo4j-knowledge-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jovanhsu-neo4j-knowledge-graph/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt