TheGuyWithoutH

TheGuyWithoutH / mac-computer-use

Public

macOS Computer Use MCP server with a native Swift helper.

14
4
100% credibility
Found Apr 26, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

macOS software that replicates an AI agent's desktop control capabilities, allowing other coding assistants to list apps, capture states, and perform interactions like clicking and typing.

How It Works

1
🔍 Discover mac-use

You hear about mac-use, a handy tool that lets smart AI helpers control your Mac apps safely and easily.

2
📥 Get it on your Mac

You download and set it up on your Mac with a quick install.

3
🔑 Trust it with permissions

You give it permission to view your screen and interact, just like allowing a trusted friend to help.

4
▶️ Start it running

You launch it from Terminal or your coding app, and a fun second cursor appears.

5
🤖 Link to your AI

You connect it to your favorite AI coding assistant, ready for action.

✨ AI takes control

Your AI now lists apps, clicks, types, scrolls, and handles tasks on your desktop like magic.

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Star Growth

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AI-Generated Review

What is mac-computer-use?

This GitHub macOS client clones OpenAI Codex's Computer Use tools as an MCP stdio server, letting AI agents control your Mac desktop via commands like list_apps, get_app_state, click, type_text, and scroll. Built with Node.js and a native Swift helper, it delivers app snapshots, accessibility trees, screenshots, and pointer/keyboard actions—after granting Accessibility and Screen Recording permissions to your terminal or IDE. Install globally via npm (`npm i -g mac-use`), run `mac-use`, and plug into Cursor or Codex configs for instant mac computer use agent capabilities.

Why is it gaining traction?

It bridges the gap for macOS computer use AI missing from official tools, offering native low-latency interactions with a visible overlay cursor and Stage Manager support, without stealing your real mouse. Developers dig the background-safe set_value and perform_secondary_action for non-intrusive control, plus smoke tests and CLI fallbacks for quick validation. As a mac computer use MCP server, it slots right into existing agent workflows via simple JSON configs.

Who should use this?

AI agent builders integrating desktop automation into macOS apps, like Cursor users scripting UIs or researchers prototyping mac computer use github agents. Ideal for devs needing precise app interrogation and manipulation without full remote access—think testing macOS computer name changes or form interactions via AI.

Verdict

Worth a spin for macOS computer use needs despite 14 stars and 1.0% credibility score—docs are thorough, npm install is smooth, tests cover basics. Still early; expect polish on packaging and full background parity before production.

(198 words)

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