What are the system requirements?
Node.js 16+ and Unity 2022.3 LTS or newer are required.
@GrandMasterK414
Basic information
Unity MCP Server for integration with Smithery.ai
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryReads the contents of a file in the Unity project
Searches for text patterns in project files
Lists project assets of a certain type or in a folder
Gets high-level information about the Unity project
Parses a Unity scene file to extract game objects hierarchy
Parses a Unity prefab file to extract components
Finds scenes containing a specific GameObject or component
Compiles C# code to find compiler errors
Finds references to a C# class or method
Creates a new C# script file from a template
Compiles a shader and reports errors
Inspects a YAML asset file
Runs Unity's automated tests in batch mode
Experimental - runs a scene in play mode for a short duration
A Model Context Protocol (MCP) server that bridges AI assistants (e.g., Cursor AI, Claude) with Unity projects. It runs in batch mode and provides tools for reading files, parsing scenes/prefabs, analyzing C# code, running tests, and more.
Install Node.js 16+ and Unity 2022.3 LTS+, clone the repository, run npm install && npm build, then configure config/default.json with your Unity and project paths. Start with npm start or for Smithery mode npm run smithery:start. It can also be run in a Docker container.
Node.js 16+ and Unity 2022.3 LTS or newer are required.
Edit `config/default.json` and set the `unityPath` and `projectPath` fields under the `unity` section.
Run `npm start` from the project directory, or `npm run smithery:start` for Smithery integration.
Yes, a Dockerfile is included. Build with `docker build -t unity-mcp-server .` and mount your project as a volume.
The server provides 14 tools including `open_file`, `search_files`, `parse_scene`, `analyze_cs_code`, `run_tests`, `generate_script`, `validate_shader`, and more.
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