A Unity package that enables seamless communication between Unity and Large Language Models (LLMs) like Claude Desktop via the Model Context Protocol (MCP). This server acts as a bridge, allowing Unity to send commands to and receive responses from MCP-compliant tools, empowering developers to automate workflows, manipulate assets, and control the Unity Editor programmatically.

Welcome to the initial release of this open-source project! Whether you're looking to integrate LLMs into your Unity workflow or contribute to an exciting new tool, I appreciate you taking the time to check out my project.

The Unity MCP Server provides a bidirectional communication channel between Unity (via C#) and a Python server, enabling:

• Asset Management: Create, import, and manipulate Unity assets programmatically.
• Scene Control: Manage scenes, objects, and their properties.
• Material Editing: Modify materials and their properties.
• Script Integration: View, create, and update Unity scripts.
• Editor Automation: Control Unity Editor functions like undo, redo, play, and build.

This project is perfect for developers who want to leverage LLMs to enhance their Unity projects or automate repetitive tasks.

• Unity 2020.3 LTS or newer (⚠️ only works in URP projects currently)
• Python 3.7 or newer
• uv package manager

If you're on Mac, please install uv as

brew install uv

On Windows

powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

and then add to your PATH:

set Path=%USERPROFILE%\.local\bin;%Path%

On Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

Otherwise, installation instructions are on their website: Install uv

⚠️ Do not proceed before installing UV

1. Add the Unity Package

   • Open Unity Package Manager (Window > Package Manager)
   • Click the + button and select Add package from git URL
   • Enter: https://github.com/justinpbarnett/unity-mcp.git

2. Set Up Python Environment

   • Navigate to the Python directory in your project:
     • If installed as a package: Library/PackageCache/com.justinpbarnett.unity-mcp/Python
     • If installed locally: Assets/unity-mcp/Python
   • Install dependencies:

     uv venv
     uv pip install -e .

1. Open the Unity MCP window (Window > Unity MCP)
2. Click the "Auto Configure" button for your desired MCP client
3. Status indicator should show green and a "Configured" message

Alternatively, manually configure your MCP client:

1. Open the Unity MCP window (Window > Unity MCP)
2. Click the "Manually Configure" button for your desired MCP client
3. Copy the JSON code below to the config file

{
  "mcpServers": {
    "unityMCP": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/unity-mcp/Python",
        "run",
        "server.py"
      ]
    }
  }
}

Replace /path/to/your/unity-mcp/Python with the actual path to the Unity MCP Python directory.

⚠️ Only run one instance of the MCP server (either on Cursor or Claude Desktop), not both

1. Start Claude Desktop or Cursor
   • Launch your preferred tool
   • The Unity MCP Server will automatically start and connect

Once configured, you can use the MCP Client to interact with Unity directly through their chat interface.

• Bidirectional Communication: Seamlessly send and receive data between Unity and LLMs.
• Asset Management: Import assets, instantiate prefabs, and create new prefabs programmatically.
• Scene Control: Open, save, and modify scenes, plus create and manipulate game objects.
• Material Editing: Apply and modify materials with ease.
• Script Integration: Create, view, and update C# scripts within Unity.
• Editor Automation: Automate Unity Editor tasks like building projects or entering play mode.

I'd love your help to make the Unity MCP Server even better! Here's how to contribute:

1. Fork the Repository
   Fork github.com/justinpbarnett/unity-mcp to your GitHub account.

2. Create a Branch

   git checkout -b feature/your-feature-name

   OR

   git checkout -b bugfix/your-bugfix-name

3. Make Changes
   Implement your feature or fix.

4. Commit and Push
   Use clear, descriptive commit messages:

   git commit -m "Add feature: your feature description"
   git push origin feature/your-feature-name

5. Submit a Pull Request
   Open a pull request to the master branch. Include a description of your changes and any relevant details.

This project is licensed under the MIT License. Feel free to use, modify, and distribute it as you see fit. See the full license here.

Encountering issues? Here are some common fixes:

• Unity Bridge Not Running
  Ensure the Unity Editor is open and the MCP window is active. Restart Unity if needed.

• Python Server Not Connected

  • Verify the Python server is running (python server.py in the Python directory).
  • Check config.json for correct port settings (default: unity_port: 6400, mcp_port: 6500).
  • Ensure uv and dependencies are installed correctly.

• Configuration Issues with Claude Desktop or Cursor
  Confirm the paths and settings in the configuration dialog match your tool's installation.

For additional help, check the issue tracker or file a new issue.

Have questions or want to chat about the project? Reach out!

• X: @justinpbarnett

A huge thanks to everyone who's supported this project's initial release. Special shoutout to Unity Technologies for having an excellent Editor API.

Happy coding, and enjoy integrating LLMs with Unity!