# unity-mcp-server

> unity-mcp-server — anklebreaker-studio-unity-mcp-server. Use this tool when you need to streamline AI-assisted game development in Unity, connecting MCP clients to the Unity Editor and Hub for scene management, GameObject manipulation, and other tasks. It solves problems such as cumbersome scene navigation, tedious build processes, and limited profiling capabilities. With 268 tools at its disposal, the Unity MCP Server accepts inputs from MCP clients like Claude and Cursor, and outputs streamlined game development workflows.

Canonical page: https://skillsregistry.net/skills/anklebreaker-studio-unity-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/anklebreaker-studio-unity-mcp-server

## Description

Unity MCP Server — 268 tools for AI-assisted game development. Connect Claude, Cursor, or any MCP client to Unity Editor & Unity Hub. Scene management, GameObjects, components, builds, profiling, Shader Graph, Amplify, terrain, physics, NavMesh, animation, MPPM multiplayer & more. Free & open source by AnkleBreaker Studio.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AnkleBreaker-Studio/unity-mcp-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": "anklebreaker-studio-unity-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anklebreaker-studio-unity-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anklebreaker-studio-unity-mcp-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