Advanced Unity MCP
A bridge that enables controlling Unity Editor through natural language commands via AI assistants, allowing users to create materials, build projects, manage scenes, and configure settings without manual interaction.
README Documentation
Advanced Unity MCP from Code Maestro
Control Unity with AI through natural language commands.
Instead of clicking through menus and manually setting up GameObjects, just tell your AI assistant what you want and watch it happen automatically.
"Create a red material and apply it to a cube"
"Build the project for Android"
"Make a new scene with a camera and directional light"
Watch the video
Quick Start
1. Install the Package
Unity Package Manager → Add package from git URL for the version of Unity you are using
For Unity 2020-2022
https://github.com/codemaestroai/advanced-unity-mcp.git?path=Unity2020_2022
For Unity 6+
https://github.com/codemaestroai/advanced-unity-mcp.git?path=Unity6
2. Connect Your AI
- Go to
Code Maestro > MCP Dashboard
in Unity. - For Code Maestro Desktop App: Select the "Code Maestro Desktop App" connection mode. The connection is automatic, and the dashboard will show the connection status.
- For other clients (VS Code, Cursor, etc.): Select the "Other Clients" connection mode, then click Configure next to your preferred client.
- Start giving commands!
Supported MCP Clients:
- Code Maestro Desktop App (uses Direct Connection)
- GitHub Copilot (VS Code)
- Cursor
- Windsurf
- Claude Desktop
- ...and any other MCP-capable copilot.
Clients other than the Code Maestro Desktop App use the Relay Server connection, which is installed automatically.
What Unity MCP Can Do
Core Editor Control - Play/pause/stop game, execute menu items, read/clear console messages
Asset & Scene Management - Create/modify/delete materials, prefabs, scripts, manage scenes and GameObjects
Build & Platform Tools - Build settings, platform switching, Android Debug Bridge operations
Project Configuration - Unity packages, project settings, PlayerPrefs, external tools
Performance Analysis - Unity Profiler control for performance bottlenecks
Examples
"Check the console for any errors"
"Create a script called PlayerMovement with WASD controls"
"Switch the build target to iOS"
"Add a rigidbody component to the selected object"
"Create a new material with metallic properties"
"Save the current GameObject as a prefab"
"Clear all console messages and check for warnings"
How It Works
Unity MCP bridges your Unity Editor with AI assistants using the Model Context Protocol. It supports two connection modes, which can be selected in the MCP Dashboard:
-
Direct Connection (for Code Maestro Desktop App): This is the recommended mode for Code Maestro users. The Unity Editor connects directly to the Code Maestro Desktop App's central hub. This method is faster and doesn't require a separate relay server.
- Unity MCP Connector: Runs inside the Unity Editor to manage the connection.
-
Relay Server Connection (for other clients): For clients like VS Code or Cursor, the bridge uses a local TCP server and a relay server.
- Bridge Server: Runs in the Unity Editor and provides API access over a local TCP port.
- Relay Server: A small background process that handles communication between the AI client and the Unity Bridge Server. It is installed automatically.
The setup is automatic. Simply choose your connection mode in the dashboard.
💡 Tip: When multiple Unity projects are open, your AI assistant will automatically connect to the most recently opened Unity Editor instance.
Requirements
- Unity 2022+
- MCP Client (Such as GitHub Copilot or Cursor)
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