# mcp-neo4j

> mcp-neo4j — neo4j-contrib-mcp-neo4j. Use this tool when you need to manage and integrate model context data using Neo4j graph database, solving data complexity and connectivity problems. It provides a server for Model Context Protocol, accepting git inputs and generating outputs for data modeling and analysis. Ideal for use cases requiring robust data relationships and version control, such as data science and enterprise knowledge graph applications.

Canonical page: https://skillsregistry.net/skills/neo4j-contrib-mcp-neo4j  
JSON: https://api.skillsregistry.net/v1/skills/neo4j-contrib-mcp-neo4j

## Description

Neo4j Labs Model Context Protocol servers

## Trust

- **Trust score (0–1):** 0.35
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/neo4j-contrib/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": "neo4j-contrib-mcp-neo4j"
    }
  }
}
```

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