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Unity AI MCP Server

@GrandMasterK414

Repository

Basic information

Category

Other

Transports

stdio

Author

GrandMasterK414

About Unity AI MCP Server

An MCP server that provides AI-powered tools and assistance for Unity game development

Unity AI MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Unity AI MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Unity AI MCP Server?

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.

How to use Unity AI MCP Server?

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.

Key features of Unity AI MCP Server

  • MCP server for Unity AI integration
  • RESTful API and stdin/stdout interfaces
  • Unity project analysis and navigation
  • Script generation and manipulation
  • Sandbox mode for safe code execution
  • Smithery.ai advanced AI capability integration
  • Asset reference finding across projects

Use cases of Unity AI MCP Server

  • Explore and navigate Unity project structure with Project Explorer
  • Get guidance on Unity script development via Script Advisor
  • Find references to assets in a Unity project
  • Safely execute and test Unity code in a sandboxed Editor instance
  • Leverage Smithery.ai AI tools alongside Unity analysis

Frequently asked questions

1

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.

2

What configuration is mandatory?

The `UNITY_PROJECT_PATH` environment variable is required to point to your Unity project. Without it the server cannot start.

3

What transports and interfaces does the server support?

It supports stdin/stdout communication, a REST API (enable via `ENABLE_REST_API`), and Smithery.ai integration (enable via `SMITHERY_ENABLED`).

4

Does the server execute code or modify the Unity project?

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.

5

How does sandbox mode enhance security?

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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