# Unity-AI Bridge

> Use this tool when you need to integrate AI assistants with Unity game environments for automated testing, scene analysis, and runtime debugging. The Unity-AI Bridge enables AI-assisted game development by executing C# code, querying game objects, and retrieving results asynchronously. It is ideal for use cases where AI-driven automation and analysis can streamline game development workflows, such as testing and debugging, while respecting Unity's single-threaded execution model.

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

## Description

Unity-MCP is an open-source bridge between Unity game environments and AI assistants, enabling AI-assisted game development, automated testing, scene analysis, and runtime debugging. It implements a minimal set of six commands that allow executing C# code, querying game objects, and retrieving results asynchronously—all while respecting Unity's single-threaded execution model. The server handles long-running operations through a log ID system that maintains context across thread boundaries, allowing AI assistants to continue interaction while waiting for results from resource-intensive operations like running tests or performing scene analysis.

## Trust

- **Trust score (0–1):** 0.32
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tsavo-unity-ai-bridge)
- **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-ai-bridge"
    }
  }
}
```

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