# UnityFigmaMCP

> UnityFigmaMCP — chav0-unityfigmamcp. Use this tool when you need to automate the creation of Unity UI prefabs from Figma designs, streamlining your UI development workflow and reducing manual labor. It solves problems of design consistency and implementation time by leveraging AI agents and Model Context Protocol. Input your Figma designs and output fully functional Unity UI prefabs, with optional integration with git for version control.

Canonical page: https://skillsregistry.net/skills/chav0-unityfigmamcp  
JSON: https://api.skillsregistry.net/v1/skills/chav0-unityfigmamcp

## Description

Build Unity UI prefabs from Figma designs using AI agents via Model Context Protocol

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/chav0/UnityFigmaMCP)

## 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": "chav0-unityfigmamcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chav0-unityfigmamcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chav0-unityfigmamcp/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