# Unity

> Use this tool when you need to create Unity packages with streamlined development and testing workflows, solving problems such as cross-version compatibility and package management. It takes in custom package code and outputs a fully functional Unity package with automated testing and deployment scripts. Ideal for Unity developers looking to implement the Model Context Protocol with real-time communication capabilities.

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

## Description

Unity-MCP is a template for creating Unity packages that implement the Model Context Protocol. It provides a structured project setup with automated workflows for testing across multiple Unity versions, deployment scripts for npm and GitHub, and utility commands for package management. The template includes SignalR client integration for real-time communication and follows best practices for Unity package development with comprehensive GitHub Actions CI/CD support.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ivanmurzak-unity)
- **Repository:** <https://github.com/ivanmurzak/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": "ivanmurzak-unity"
    }
  }
}
```

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