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.
An MCP server that connects AI assistants to Unity Editor. It enables executing menu items, manipulating GameObjects, managing scenes, creating materials, running tests, and controlling play mode, all through natural language.
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.
A server that connects Unity with local large language models through Ollama, enabling developers to automate workflows, manipulate assets, and control the Unity Editor programmatically without relying on cloud-based LLMs.
This server enables AI assistants to directly control the Unity Editor via MCP, supporting scene manipulation, script editing, level generation, monetization management, build pipelines, and more—all with zero external dependencies.
The first Model Context Protocol server for Unity projects. It gives AI assistants real understanding of Unity scenes, prefabs, and C# scripts through a queryable knowledge graph.