Mosaic Bridge: AI Agents Driving Unity via MCP

Unity Editor plugin for Model Context Protocol (MCP) enabling AI agents to control Unity with specialized tools.

Mosaic Bridge: AI Agents Driving Unity via MCP

Mosaic Bridge is a Unity Editor plugin designed to integrate AI agents with the Unity game development environment. Leveraging the Model Context Protocol (MCP), this tool provides a framework for AI agents to interact with and control Unity, opening up new possibilities for automated content creation, testing, and development workflows. It acts as a bridge, translating AI agent commands into actionable operations within the Unity Editor.

What it Does

Mosaic Bridge enables AI agents to directly manipulate and control the Unity Editor. This is achieved by exposing Unity's functionalities through the Model Context Protocol (MCP). AI agents can then utilize specialized tools, defined within the MCP framework, to perform tasks such as scene manipulation, asset management, script execution, and more. The plugin facilitates a seamless communication channel between the AI agent and the Unity Editor, allowing for complex, automated interactions.

Key Features

MCP Integration: Built upon the Model Context Protocol (MCP), allowing for standardized communication with AI agents.
Unity Editor Control: Enables AI agents to directly interact with and control the Unity Editor.
Specialized Tools: Supports the use of specialized tools within the MCP framework for targeted Unity operations.
Developer Focused: Designed for developers looking to automate and enhance their Unity development pipeline with AI.
Open Source: Available on GitHub, fostering community contribution and transparency.

Who It's For

Mosaic Bridge is intended for AI developers, game developers, and technical artists who are exploring the integration of AI agents into their Unity workflows. It is particularly useful for those working on projects that require automated testing, procedural content generation, AI-driven design tools, or advanced simulation environments within Unity. Developers familiar with AI agent frameworks and the Model Context Protocol will find this tool directly applicable to their needs.