Unity AI MCP Server

@GrandMasterK414

Repository

Basic information

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

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.

What configuration is mandatory?

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

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`).

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.

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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