# Patina Unity MCP

> Patina Unity MCP — taygunsavas-patina-unity-mcp. Use this tool when you need to integrate AI-powered coding assistance with the Unity Editor, enabling automated scene manipulation and console interaction. It solves problems such as manual object creation and console management, allowing for streamlined development workflows. With a simple one-click installation, Patina Unity MCP provides a seamless interface between AI agents and the Unity Editor over a local TCP channel.

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

## Description

Control the Unity Editor from any MCP host. One package install, one click, and your AI assistant can see your scene, create objects, and talk to the console.
Patina is a Rust MCP server paired with a C# Unity bridge. It connects your favorite AI coding tool directly to the Unity Editor over a local TCP channel, with zero manual config.

## Trust

- **Trust score (0–1):** 0.66
- **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/rnsa20r7cp)
- **Repository:** <https://github.com/taygunsavas/patina-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": "taygunsavas-patina-unity-mcp"
    }
  }
}
```

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

---
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
