Unitymcpintegration
U

Unitymcpintegration

This project provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.
2.5 points
9.2K

What is Unity MCP Integration?

Unity MCP Integration is a bridge between your Unity development environment and AI assistants. It allows AI to understand your Unity project structure, access scene information, execute code, and manipulate files - all in real-time through the Model Context Protocol.

How does it work?

The system consists of a Unity plugin and a Node.js server that communicate via WebSocket. AI assistants connect to the server which then relays commands to your Unity Editor, enabling two-way interaction with your project.

When should I use it?

Ideal for: Automating repetitive Unity tasks, debugging assistance, project analysis, rapid prototyping, and getting AI-powered suggestions while developing in Unity.

Key Features

Full Editor Access
AI can inspect and modify your Unity project just like a developer would through the Editor interface
Project File Management
Read, edit, and create project files including scripts, scenes, and assets
Safe Code Execution
Run C# code snippets directly in the Editor context with safety checks
Real-time Project Monitoring
Access current scene hierarchy, game objects, and Editor logs in real-time
Advantages
Saves development time by automating repetitive tasks
Enables AI-assisted debugging and problem solving
Provides complete project visibility to AI helpers
Secure sandboxed execution environment
Limitations
Requires Unity 2021.3+ and Node.js 18+
WebSocket connection means both systems must be running
Some advanced Editor features may require custom implementation

Getting Started

Install the Unity Package
Add the package to your Unity project through Package Manager or by importing the unityPackage
Set Up MCP Server
Install and run the Node.js server that handles communication between AI and Unity
Connect Your AI Assistant
Configure your AI tool (like Claude) to connect to the MCP server
Start Interacting
Begin asking your AI assistant to help with Unity tasks

Example Use Cases

Scene Analysis
Have AI analyze your current scene structure and suggest optimizations
Script Modification
Request AI to modify existing scripts with specific changes
Asset Management
Organize project assets with AI assistance

Frequently Asked Questions

Is this safe to use with my production projects?
What Unity versions are supported?
Can multiple AI assistants connect at once?
How do I know what the AI is doing in my project?

Additional Resources

MCP Protocol Documentation
Official Model Context Protocol documentation
GitHub Repository
Source code and issue tracking
Demo Video
Video demonstration of features
Smithery Installation
One-click installation for Claude Desktop

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "unity-mcp-server": {
      "command": "node",
      "args": [
        "path-to-project>\\Library\\PackageCache\\com.quaza.unitymcp@d2b8f1260bca\\mcpServer\\mcpServer\\build\\index.js"
      ],
      "env": {
        "MCP_WEBSOCKET_PORT": "5010"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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