Model Context Protocol (MCP) Unity Server
The MCP Unity server integrates AI assistants with Unity Editor, allowing automated scene editing, object management, package handling, and test execution. It acts as a bridge between Unity and various AI models, facilitating code intelligence, menu execution, and asset manipulation through a WebSocket connection, improving workflow automation.
Added on:
Created by:
Apr 27 2025
The MCP Unity server integrates AI assistants with Unity Editor, allowing automated scene editing, object management, package handling, and test execution. It acts as a bridge between Unity and various AI models, facilitating code intelligence, menu execution, and asset manipulation through a WebSocket connection, improving workflow automation.
Added on:
Created by:
Apr 27 2025
Miguel Tomas
Featured
What is Model Context Protocol (MCP) Unity Server?
This MCP Unity server implements the Model Context Protocol within the Unity Editor environment, providing a robust interface for AI models like Claude, Windsurf, and Cursor to control and modify Unity projects. It enables executing menu commands, selecting game objects, updating components, adding packages, running tests, and adding assets directly from AI prompts. The configuration of WebSocket ports and timeouts for reliable communication. Developers can build, debug, and extend the server with Node.js, enhancing industrial automation, AI-assisted scene management, and streamlined development workflows within Unity.
Who will use Model Context Protocol (MCP) Unity Server?
- Unity Developers
- AI Researchers
- Game Designers
- Automation Engineers
- Unity Plugin Developers
How to use the Model Context Protocol (MCP) Unity Server?
- Step 1: Install the MCP Unity package via Unity Package Manager using the provided Git URL.
- Step 2: Install Node.js 18 or later and verify installation.
- Step 3: Configure the AI LLM client in Unity Editor's MCP Server window, selecting or editing the configuration file.
- Step 4: Start the MCP Unity Server from the Unity Editor.
- Step 5: Launch your AI model client (Claude Desktop, Windsurf, Cursor) and connect via WebSocket.
- Step 6: Use AI prompts to execute scene commands, manage objects, or run tests within Unity.
- Step 7: Troubleshoot connection issues or adjust WebSocket port/timeouts through the Unity Editor settings.
Model Context Protocol (MCP) Unity Server's Core Features & Benefits
The Core Features
- execute_menu_item
- select_gameobject
- update_component
- add_package
- run_tests
- send_console_log
- add_asset_to_scene
The Benefits
- Automates scene and object management within Unity
- Enhances AI integration and code understanding
- Enables remote scene control and testing workflows
- Supports seamless plugin and package handling
- Improves development efficiency with AI assistance
Model Context Protocol (MCP) Unity Server's Main Use Cases & Applications
- Automated scene creation and object management via AI commands
- AI-assisted game asset placement and component configuration
- Remote execution of Unity menu functions and test runs
- Streamlined package installation and scene asset management
- Iterative development and testing using AI prompts
FAQs of Model Context Protocol (MCP) Unity Server
Developer
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