# Unity

> Use this tool when you need to integrate AI functionality with Unity projects, enabling real-time interaction and automation of tasks such as level design, asset management, and debugging. It provides a standardized interface for AI models to manipulate Unity scenes, objects, and project settings, accepting C# commands and logs as inputs and generating editor state outputs. Ideal for use cases where AI-driven automation can enhance Unity project development, UnityMCP streamlines the process without requiring extensive Unity API knowledge.

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

## Description

UnityMCP, developed by an unnamed author, is a Unity Editor plugin and server implementation that enables AI assistants to interact with Unity projects in real-time. Built with C# and TypeScript, it offers tools for retrieving editor state, executing C# commands, and accessing logs. The implementation focuses on providing a standardized interface for AI models to manipulate Unity scenes, objects, and project settings. It's particularly useful for tasks like automated level design, asset management, or debugging assistance, allowing AI to directly influence Unity projects without requiring deep knowledge of the Unity API or editor interface.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arodoid-unity)
- **Repository:** <https://github.com/jackwrichards/unitymcp>

## 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": "arodoid-unity"
    }
  }
}
```

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