# Neo4j Graph

> Use this tool when you need to integrate Large Language Models with graph databases for complex relationship modeling, knowledge graph construction, or graph-based analytics. It solves problems in AI applications such as recommendation systems, fraud detection, and network analysis by providing a seamless interface for creating, reading, updating, and deleting graph data structures. With flexible configuration and improved error handling, it is ideal for deployment scenarios requiring natural language interfaces and complex data relationships.

Canonical page: https://skillsregistry.net/skills/rebots-online-neo4j  
JSON: https://api.skillsregistry.net/v1/skills/rebots-online-neo4j

## Description

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.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rebots-online-neo4j)
- **Repository:** <https://github.com/rebots-online/mcp-neo4j>

## 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": "rebots-online-neo4j"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rebots-online-neo4j` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rebots-online-neo4j/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