# MCP Neo4j Server

> Use this tool when you need to interact with Neo4j databases and execute Cypher queries to create, manage, and analyze graph data. It solves problems related to data modeling, relationship mapping, and querying complex networks, providing inputs for Cypher queries and outputs of query results and database updates. Ideal for use cases involving graph databases, data integration, and analytics, this server enables seamless interaction between Neo4j databases and Claude Desktop.

Canonical page: https://skillsregistry.net/skills/da-okazaki-mcp-neo4j-server  
JSON: https://api.skillsregistry.net/v1/skills/da-okazaki-mcp-neo4j-server

## Description

This server enables interaction between Neo4j databases and Claude Desktop, allowing users to execute Cypher queries, create nodes, and establish relationships in the database.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qjpsxn4zlh)
- **Repository:** <https://github.com/da-okazaki/mcp-neo4j-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": "da-okazaki-mcp-neo4j-server"
    }
  }
}
```

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