# Unity MCP

> Use this tool when you need to automate and manipulate Unity scenes programmatically, enabling AI-powered workflows for game development. Unity MCP solves problems such as repetitive scene setup and object management, providing a WebSocket-based interface for AI clients to interact with the Unity Editor. It accepts inputs from AI clients and outputs scene modifications, making it ideal for use cases requiring programmatic control of Unity scenes, such as automated testing and AI-assisted level design.

Canonical page: https://skillsregistry.net/skills/yazzy-unity  
JSON: https://api.skillsregistry.net/v1/skills/yazzy-unity

## Description

Unity MCP enables AI-powered scene manipulation and automation within the Unity Editor through a WebSocket-based protocol. The implementation consists of a Unity Editor plugin that provides a user interface for starting/stopping the server and a Python server component that handles communication between AI clients and Unity. It supports a wide range of operations including GameObject creation, component management, transform manipulation, and property access - making it particularly valuable for AI-assisted game development workflows where programmatic control of Unity scenes is needed.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yazzy-unity)
- **Repository:** <https://github.com/yazzyyaz/unity-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": "yazzy-unity"
    }
  }
}
```

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