# unity

> unity — simonwittber-agentbridge. Use this tool when you need to automate Unity Editor tasks or integrate AI-driven workflows into your game development pipeline. It enables scene manipulation, asset management, compilation, and testing through natural language inputs, streamlining development and testing processes. By leveraging this tool, AI assistants can receive natural language commands and output controlled Unity Editor actions, enhancing productivity and efficiency.

Canonical page: https://skillsregistry.net/skills/simonwittber-agentbridge  
JSON: https://api.skillsregistry.net/v1/skills/simonwittber-agentbridge

## Description

Enables AI assistants to control the Unity Editor via MCP, allowing scene manipulation, asset management, compilation, and testing through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ycqjuqfe85)
- **Repository:** <https://github.com/simonwittber/AgentBridge>

## 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": "simonwittber-agentbridge"
    }
  }
}
```

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