# Neo4j Graph

> Use this tool when you need to query and explore complex graph data, solving problems like data discovery, relationship analysis, and network visualization. It provides read-only access to a Neo4j graph database, accepting inputs like custom Cypher queries and property searches, and outputting results like node neighborhoods and graph schemas. Ideal for use cases where data insight and analysis are required, without modifying the underlying data.

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

## Description

This MCP server provides read-only access to a self-hosted Neo4j graph database. It exposes tools for fetching the graph schema, searching nodes by property, exploring node neighborhoods up to two hops, and executing custom read-only Cypher queries. All write operations are blocked, and results are capped at 500 rows with a configurable query timeout.

## Trust

- **Trust score (0–1):** 0.76
- **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/gh-xjly-neo4j-graph)
- **Repository:** <https://github.com/xjly/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": "gh-xjly-neo4j-graph"
    }
  }
}
```

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