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Unity's AI tools meet you where you work

In the Editor, in your terminal, and in your 3rd-party agent.

AI Tools in Unity

Unity's official plugin

Install the official Unity plugin for Claude Code, Codex, and Grok. Get engineering skills authored and maintained by the Unity teams that built them.

Unity's official plugin written in white text on a black background

MCP Server through CLI

Set up through the Unity CLI. Operate the Editor from your preferred IDE or application using a third-party agent. Requires Unity 6+.

MCP Server through CLI

In-Editor Assistant

Editor integrated. Project aware. Designed for your workflows. Multiple models to choose from for every step of your project.

Unity's in-editor AI assistant tool appears over the Unity editor where a space game in in development
wiring animations with unity assistant

Unity command-line interface (CLI)

Drive Unity from your terminal. Install the Editor, create and open projects, and use built-in MCP Mode to connect the agent you already use.

Official Unity plugin for your coding agent

Unity-aware context, commands, and MCP setup, installed straight into the agent you already use.

Agentic assistance inside the Editor

Editor-integrated and project-aware. Unity's in-editor assistant understands your scene, drives Editor actions, and verifies changes behave as intended — with multiple models to choose from for every task.

How to get started with Unity’s AI tools

Install Unity 6 or later

Download the Editor through the Unity Hub or the Unity CLI.

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Use Unity's AI assistant in-editor

To use Unity’s in-editor assistant, click the AI button in the Editor and install the assistant package, or install the package directly from the package manager.

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Use your 3rd-party AI agent

Utilize the CLI, MCP server through CLI, or Unity’s official plugin to drive the Editor from your preferred IDE.

Start building with Unity's AI tools in beta

Still not clear where to start? Get clear instructions to get Unity’s AI tools running in your project.

Frequently asked questions

Performance claims are based on internal Unity benchmarks comparing Unity’s AI tools against general-purpose frontier AI models across a range of Unity-specific development tasks. Individual results may vary based on project complexity, specific task types, and user behavior.