# Unity-MCP

> Use this tool when you need to integrate AI functionality into Unity game environments, enabling AI assistants to interact with and analyze scenes, execute code, and debug runtime issues. It solves problems related to AI-Unity integration, scene understanding, and automated testing, providing a standardized interface for seamless communication. Ideal for use cases requiring dynamic scene analysis, automated gameplay testing, or AI-driven game development.

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

## Description

A bridge between Unity and AI assistants that enables AI to interact with Unity game environments through a standardized interface for code execution, scene analysis, and runtime debugging.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wopli4mm5v)
- **Repository:** <https://github.com/TSavo/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": "tsavo-unity-mcp"
    }
  }
}
```

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