# Neo4j MCP Server

> Neo4j MCP Server — dhakshnamoorthi146-mcp. Use this tool when you need to integrate a Neo4j graph database with AI agents, enabling them to execute read and write Cypher queries. It solves problems related to data storage and retrieval for graph-based data models, providing a seamless interface for AI agents to interact with the database. The Neo4j MCP Server takes Cypher queries as input and returns query results as output, making it ideal for use cases that require graph data manipulation and analysis.

Canonical page: https://skillsregistry.net/skills/dhakshnamoorthi146-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dhakshnamoorthi146-mcp

## Description

Exposes a Neo4j graph database as MCP tools, enabling AI agents to run read and write Cypher queries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yv6c0hgl6q)
- **Repository:** <https://github.com/Dhakshnamoorthi146/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": "dhakshnamoorthi146-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dhakshnamoorthi146-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dhakshnamoorthi146-mcp/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