# mcp-graph-engine

> Use this tool when you need to build, analyze, and visualize complex relationship graphs, and solve problems like ranking node importance or detecting cycles in networks. It takes in graph data as input and outputs analyzed and visualized graphs, leveraging algorithms like PageRank. Ideal for use cases where understanding relationships between entities is crucial, such as social network analysis or recommendation systems.

Canonical page: https://skillsregistry.net/skills/utilitydelta-mcp-graph-engine  
JSON: https://api.skillsregistry.net/v1/skills/utilitydelta-mcp-graph-engine

## Description

A graph database MCP server that lets AI assistants build, analyze, and visualize relationship graphs with algorithms like PageRank and cycle detection.

## Trust

- **Trust score (0–1):** 0.66
- **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/g9cbkvddfx)
- **Repository:** <https://github.com/utilitydelta/mcp-graph-engine>

## 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": "utilitydelta-mcp-graph-engine"
    }
  }
}
```

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