What dependencies are required?
Node.js and npm are required. For sandbox mode, the Unity Editor executable path must be set in the `.env` file.
@GrandMasterK414
基本情報
An MCP server that provides AI-powered tools and assistance for Unity game development
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Unity AI MCP Server is a Model Context Protocol (MCP) server that integrates Unity AI capabilities with Smithery.ai. It provides tools for analyzing Unity projects, generating scripts, finding asset references, and safely executing code in a sandboxed Unity Editor instance.
Clone the repository, run npm install, copy .env.example to .env, edit required fields like UNITY_PROJECT_PATH, then build with npm run build and start with npm start. For Smithery.ai integration, set SMITHERY_ENABLED=1 and provide SMITHERY_API_KEY in the .env file. The server offers REST API, stdin/stdout interface, and Smithery.ai tool access.
Node.js and npm are required. For sandbox mode, the Unity Editor executable path must be set in the `.env` file.
The `UNITY_PROJECT_PATH` environment variable is required to point to your Unity project. Without it the server cannot start.
It supports stdin/stdout communication, a REST API (enable via `ENABLE_REST_API`), and Smithery.ai integration (enable via `SMITHERY_ENABLED`).
Yes. Tools like Project Explorer, Script Advisor, and Asset Reference Finder read the project. Sandbox Runner safely executes code in a Unity Editor instance (requires `UNITY_EDITOR_PATH`). Always review modifications before applying.
When `ENABLE_SANDBOX=1`, code execution is isolated to a separate Unity Editor process, preventing unintended changes to your main project. It requires the Unity Editor executable path.
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