🛠️ Unity MCP: Bridging LLMs and the Unity Editor

In short, this project aims to bring LLM capabilities directly into the game development engine. Unity MCP uses the Model Context Protocol (MCP) to create a bridge between AI assistants—like Claude or Cursor—and the Unity Editor. With this integration, developers can give LLMs the actual tools needed to interact with Unity. You can prompt an AI to manage assets, manipulate scene objects, edit C# scripts, or automate tedious editor tasks. It essentially wraps Unity's internal APIs into a toolset that language models can understand and execute. The direction here is highly relevant, as game development involves a lot of repetitive manual work. The hard part is not getting an AI to write isolated code, but enabling it to understand the context of a live scene and make correct modifications. Unity MCP provides a standardized interface to make this kind of cross-environment AI collaboration practical.