Unity AI Bridge
Unity-MCP is an open - source project that connects the Unity game engine with AI assistants. It implements AI - assisted development, automated testing, and runtime debugging functions through the Model Context Protocol.
rating : 2.5 points
downloads : 7.2K
What is the MCP Server?
The MCP server is a standardized interface that allows AI assistants to interact with the Unity game environment. It supports functions such as automated testing, scenario analysis, and real-time debugging, improving development efficiency.How to use the MCP Server?
By configuring the AI assistant and starting the MCP client, you can easily execute code, query object properties, and analyze the game state.Applicable Scenarios
Suitable for game development, automated testing, and runtime debugging that require AI assistance.Main Features
Execute C# Code
Run C# code directly in the Unity environment and get the results.
Object Query
Access game objects and their properties through dot notation.
Log Retrieval
Extract historical operation records from the AILogger.
Hot Reload Support
Update code without restarting Unity.
Advantages
Improve development efficiency
Support multiple deployment methods (Editor plugin, Docker container, etc.)
Rich API interfaces
Limitations
Have a certain dependence on the network environment
The initial configuration may be slightly complicated
How to Use
Clone the Repository
Clone the Unity-MCP project from GitHub to your local machine.
Install Dependencies
Run npm install to install the required dependencies.
Build the Project
Compile the project to ensure everything is working properly.
Start the MCP Client
Start the MCP client to connect to Unity.
Usage Examples
Move the Player's Position
Move the player character to the specified coordinates.
Check the Camera's Position
Get the position of the main camera.
Frequently Asked Questions
How to configure the AI assistant to connect to the MCP server?
Does the MCP server support multi - language scripts?
How to solve the problem of connection failure?
Related Resources
Official Documentation
Detailed installation and usage guide.
GitHub Code Repository
Source code and contribution guide.
Tutorial Video
Quick start tutorial.

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