# Unreal Engine Knowledge Graph MCP Server

> Use this tool when you need to navigate and understand the complexities of Unreal Engine documentation through intelligent searches and relationship mappings. It solves problems of information overload and difficulty in finding relevant features and dependencies, supporting use cases such as learning path discovery and concept exploration. The tool accepts bilingual Chinese-English queries and provides outputs in the form of graph-based relationships and learning paths.

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

## Description

Enables intelligent exploration of Unreal Engine documentation through a Neo4j-based knowledge graph. Supports concept relationship searches, learning path discovery, and dependency tracking between engine features using bilingual Chinese-English queries.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jwg2xrb9f4)
- **Repository:** <https://github.com/yarnovo/unreal-engine-knowledge-graph-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": "yarnovo-unreal-engine-knowledge-graph-mcp"
    }
  }
}
```

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