# Advanced Unity MCP

> Use this tool when you need to integrate AI-assisted workflows into your Unity game development environment, solving problems such as inefficient scripting, scene management, and asset organization. It connects MCP clients like GitHub Copilot to Unity Editor instances, allowing for seamless AI interaction through the Model Context Protocol. With inputs including Unity projects and outputs including AI-generated code and optimizations, this tool is ideal for developers seeking to streamline their game development process within the Unity ecosystem.

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

## Description

This Unity Editor package provides an advanced integration bridge that allows MCP clients like Claude Desktop, Cursor, GitHub Copilot, and Windsurf to connect directly to Unity Editor instances for AI-assisted game development workflows. Built by Code Maestro AI as a Unity package (version 1.0.5) compatible with Unity 2020.3+, it includes a compiled editor DLL, custom UI assets with client logos and status indicators, and the Archivo font family for consistent branding. The implementation enables AI agents to interact with Unity projects through the Model Context Protocol, making it valuable for developers who want to leverage AI assistance for Unity scripting, scene management, asset organization, and other game development tasks while working directly within their Unity environment.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

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