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.
What is Advanced Unity MCP?
Advanced Unity MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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 manu...
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.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A bridge that enables controlling Unity Editor through natur
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx advanced-unity-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Advanced Unity MCP
Advanced Unity MCP is a bridge that connects MCP-compatible AI assistants to the Unity Editor, enabling natural language control of game development workflows. It installs as a Unity package and exposes editor capabilities — including scene management, material creation, script generation, build configuration, and Unity Profiler access — directly to AI clients like Claude Desktop, Cursor, and GitHub Copilot. Game developers use it to speed up repetitive editor tasks by describing what they want in plain English instead of navigating menus manually.
Prerequisites
- Unity 2022 LTS or newer (Unity 6+ recommended for the Unity6 package variant)
- An MCP-compatible AI client: Claude Desktop, Cursor, Windsurf, GitHub Copilot, or similar
- Code Maestro Desktop App installed (for Direct Connection mode) or a relay server configured (for other clients)
- Unity Package Manager access to install packages from a Git URL
Install the Unity package via Package Manager
In Unity, open Window > Package Manager, click '+' > 'Add package from git URL', and paste the appropriate URL for your Unity version.
# 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=Unity6Open the MCP Dashboard in Unity
After the package installs, go to Code Maestro > MCP Dashboard in the Unity menu bar. This is where you configure the connection mode.
Choose a connection mode
Select 'Direct Connection' if you are using the Code Maestro Desktop App, or 'Relay Server' for other MCP clients. Follow the dashboard prompts to complete the setup.
Add the server to your MCP client configuration
Register the advanced-unity-mcp server in your MCP client config. The server runs as a local process communicating with the Unity Editor.
{
"mcpServers": {
"advanced-unity-mcp": {
"command": "npx",
"args": ["advanced-unity-mcp"]
}
}
}Start using natural language Unity commands
With both Unity and your MCP client running, you can now control the Unity Editor through your AI assistant. Capabilities include play/pause, material creation, script generation, build settings, and profiler access.
Advanced Unity MCP Examples
Client configuration
Example claude_desktop_config.json for the Advanced Unity MCP server.
{
"mcpServers": {
"advanced-unity-mcp": {
"command": "npx",
"args": ["advanced-unity-mcp"]
}
}
}Prompts to try
Example prompts for controlling Unity Editor through your AI assistant.
- "Create a red material and apply it to the Cube in the scene"
- "Write a PlayerMovement script with WASD controls and attach it to the Player object"
- "Switch the build target to Android and configure the build settings"
- "Build the project for iOS and report any errors"
- "Open the Unity Profiler and capture a performance snapshot"
- "Create a new prefab from the selected GameObject"Troubleshooting Advanced Unity MCP
Unity Editor does not respond to AI commands
Ensure both Unity is open and the Advanced Unity MCP package is installed. Open Code Maestro > MCP Dashboard and confirm the connection status shows 'Connected'. Restart the MCP client after any configuration change.
Package Manager fails to install from Git URL
Make sure you are using the correct URL for your Unity version. Unity 6+ uses the ?path=Unity6 variant; older versions use ?path=Unity2020_2022. Also ensure Git is installed and accessible from the command line.
Script generation errors or syntax issues
Verify that Unity's scripting backend is set correctly (Mono or IL2CPP) for your target platform. If the generated script fails to compile, ask the AI assistant to fix the specific error by pasting the Unity Console error message.
Frequently Asked Questions about Advanced Unity MCP
What is Advanced Unity MCP?
Advanced Unity MCP is a Model Context Protocol (MCP) server that 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. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Advanced Unity MCP?
Follow the installation instructions on the Advanced Unity MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Advanced Unity MCP?
Advanced Unity MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Advanced Unity MCP free to use?
Yes, Advanced Unity MCP is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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Set Up Advanced Unity MCP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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