Enables AI clients to interact with and control the Unity Editor through a Python MCP server bridge, allowing natural language-based Unity project manipulation.
A bridge between Unity and AI assistants that enables AI to interact with Unity game environments through a standardized interface for code execution, scene analysis, and runtime debugging.
An in-editor MCP server that exposes Unity convenience tools to AI assistants, allowing them to read console logs, execute menu items, dump scene hierarchies, and take screenshots.
Enables AI assistants to interact with Unity Editor through the Model Context Protocol, allowing natural language control of Unity projects including scene manipulation, GameObject creation, component updates, package management, and test execution.
Bridges OpenCode to Unreal Engine 5 editor via a local TCP connection, enabling interaction with the editor such as querying project structure, managing assets and actors, and generating code.
Seamless automation and intelligent control over your Unity projects. By integrating with the MCP server and client, it allows AI agents or external tools to interact with your Unity environment—creating, modifying, and managing GameObjects, Components, Assets, Scenes, and more.