# Neo4j Graph Database

> Use this tool when you need to explore and analyze complex graph data, solve problems related to relationship analysis, path discovery, and community detection, and navigate knowledge graphs. It provides a bridge between AI assistants and Neo4j graph databases, taking Cypher queries as input and returning graph data as output. Ideal for workflows requiring graph-based data exploration and pattern recognition, it offers predefined prompt templates for common graph analysis tasks.

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

## Description

Neo4j MCP Server provides a bridge between AI assistants and Neo4j graph databases, enabling complex graph data exploration and analysis through the Model Context Protocol. Built with Python using FastMCP, it exposes database schema information as resources and offers tools to execute Cypher queries against Neo4j databases. The implementation includes predefined prompt templates for common graph analysis tasks like relationship analysis, path discovery, and community detection, making it particularly valuable for workflows requiring graph-based data exploration, pattern recognition, and knowledge graph navigation.

## Trust

- **Trust score (0–1):** 0.88
- **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/neo4j-graph-database)
- **Repository:** <https://github.com/ujjalcal/mcp>

## 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-graph-database"
    }
  }
}
```

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