Minimalist vector image representing Unity and AI integration

AI Agent for Unity3D Game Engine

Integrate AI assistants seamlessly with your Unity Editor using the MCP Unity package. Empower your development workflow by connecting Unity to a Node.js MCP server, unlocking AI-driven scene management, GameObject operations, code intelligence, and automated testing directly in your Unity projects. Boost productivity, streamline asset management, and automate repetitive tasks with powerful AI tools like Claude, Windsurf, and Cursor.

PostAffiliatePro
KPMG
LiveAgent
HZ-Containers
VGD
Minimalist vector for Unity editor automation

Automate Unity Editor Operations

MCP Unity offers a robust suite of tools to let AI agents perform advanced operations directly in the Unity Editor. From executing menu commands, selecting and updating GameObjects, to adding packages and managing assets, you can automate tedious tasks and speed up your development cycle with AI-powered control.

Execute Menu Items.
Run any Unity Editor menu function programmatically, such as creating new GameObjects or custom commands.
GameObject Management.
Select, update, or add GameObjects and components via AI, streamlining your scene workflow.
Package Operations.
Install and manage Unity packages through the Package Manager with AI automation.
Automated Testing.
Run and manage tests with the Unity Test Runner directly from your AI assistant.
Minimalist vector showing AI code intelligence in Unity IDE

Code Intelligence & IDE Integration

Enhance your development environment with automatic IDE integration. MCP Unity adds the Unity package cache to your workspace, improving code intelligence, autocompletion, and type information for Unity packages. AI coding assistants get a comprehensive view of project dependencies for smarter code suggestions.

VSCode-Like IDE Support.
Automatic cache integration for popular IDEs like Visual Studio Code, Cursor, and Windsurf.
Enhanced Autocomplete.
Get better type information and autocompletion for Unity packages inside your IDE.
AI Project Understanding.
AI assistants gain deeper insights into your Unity project's structure and dependencies.
Minimalist vector for Unity scene and resource management

Advanced Scene & Resource Management

MCP Unity enables AI-driven access to Unity's scene hierarchy, menu items, logs, packages, assets, and test details. Retrieve, inspect, or manipulate all key resources through an AI interface, keeping your project organized and boosting workflow efficiency.

Scene Hierarchy Retrieval.
Access and visualize all GameObjects in your Unity scene for complete project oversight.
Resource Inspection.
Retrieve detailed information on GameObjects, assets, logs, and installed packages.
Streamlined Asset Management.
Add new assets to scenes and keep resources organized through AI commands.

MCP INTEGRATION

Available Unity MCP Integration Tools

The following tools are available as part of the Unity MCP integration:

execute_menu_item

Executes Unity menu items, allowing automation of editor functions such as creating GameObjects or triggering custom actions.

select_gameobject

Selects GameObjects in the Unity hierarchy by path or instance ID for focused editing or inspection.

update_gameobject

Updates a GameObject's properties such as name, tag, layer, and active state, or creates it if it doesn't exist.

update_component

Modifies or adds component fields on a GameObject for rapid prototyping and configuration changes.

add_package

Installs new packages via the Unity Package Manager to extend project functionality.

run_tests

Runs automated tests using the Unity Test Runner to validate project behavior.

send_console_log

Sends a log message to the Unity Editor console for debugging and information purposes.

add_asset_to_scene

Adds an asset from the AssetDatabase directly into the active Unity scene.

Connect Your Unity3D with FlowHunt AI

Connect your Unity3D to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!

MCP Unity GitHub landing page

What is MCP Unity (by CoderGamester)

MCP Unity, developed by CoderGamester, is a Model Context Protocol (MCP) plugin designed to integrate the Unity Editor game engine with advanced AI model clients such as OpenAI, Gemini, Claude, Deepseek, and Grok. This plugin enables seamless interoperability between Unity and these AI assistants, allowing developers to enhance their Unity projects with powerful AI-driven capabilities. MCP Unity streamlines workflows by allowing AI models to interact directly with Unity projects, automating tasks, generating code, and assisting with project management. The project is open-source and aims to enable game developers and AI researchers to leverage next-generation AI tools within the Unity development environment.

Capabilities

What we can do with MCP Unity

MCP Unity bridges Unity Editor with modern AI assistants, enabling enhanced development workflows, automation, and AI-powered features. Here’s what users can achieve with this integration:

Automate Game Development Tasks
Use AI to generate scripts, assets, or automate repetitive Unity Editor actions for faster development cycles.
Interact with Multiple AI Models
Seamlessly connect Unity projects with OpenAI, Gemini, Claude, Deepseek, and Grok for diverse AI-powered scenarios.
AI-Assisted Code Generation
Get code suggestions, project structure advice, and debugging assistance directly within the Unity Editor from state-of-the-art AI models.
Collaborative AI Project Management
Coordinate tasks, document changes, and manage game development processes with the help of AI-driven insights and organization.
Integrate AI-Powered Features into Games
Prototype or deploy in-game AI features, such as NPC behavior, dialogue, or procedural content generation, using robust AI models.
vectorized server and ai agent

How AI Agents Benefit from MCP Unity

AI agents can leverage MCP Unity to directly interface with the Unity Editor, enabling automated code generation, project management, and intelligent assistance throughout the game development lifecycle. By integrating with leading AI models, agents can provide real-time recommendations, perform testing, and optimize assets or gameplay elements, making the development process more efficient and innovative.