"How to Use MacOS" matching MCP servers:

An MCP server that lets AI assistants see your macOS desktop, capture screenshots, read browser tabs, and preview files via local macOS tools.

An unofficial bridge that lets Claude Code control local macOS applications through an existing OpenAI Computer Use installation by launching the signed Codex client and translating MCP compatibility.

Enables AI agents to anchor visible on-screen elements to stable DOM targets, preventing click drift during browser computer-use automation.

Launches multiple Browser-Use agents to automatically test websites for UI bugs, broken links, accessibility issues, and other technical problems on both live and localhost sites.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

MyChart MCP Server

Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.

Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.

Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.

A local TypeScript MCP server for macOS that connects to Chrome via CDP to search and download high-quality image candidates from curated sources like Unsplash, Pexels, and others for use in posters, wallpapers, and inspiration boards.

MCP server that lets AI agents perform Google AI Mode searches using the user's own browser session, returning synthesized answers with citations.

Multi-account X (Twitter) automation that drives a real Chrome session with your own cookies, so no X API key is needed. 32 tools for posting, replies, search, engagement, and media, with draft approval on by default.

An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.

Enables macOS system automation, window management, and productivity tools for AI agents, including running AppleScripts, opening apps, retrieving browser tabs, taking screenshots, and controlling system settings.

Enables AI agents to drive the Arc browser on macOS, including tab management, navigation, page reading, DOM interaction, and JavaScript scripting via AppleScript automation.

Browser use using Typesafe's Jev model

Give AI agents eyes and hands on macOS.

Hybrid computer-use MCP server that automates browsers and native macOS/Linux apps by fusing accessibility trees, Chrome DevTools Protocol, and vision into one structured context. Exposes four composable tools — cel_see, cel_act, cel_think, cel_perceive — that work with any MCP client and run fully offline via Ollama.

Drives your real, logged-in Safari session on macOS to navigate, read page content, click elements, and fill forms via JXA.

A Windows-only MCP server for controlling a real browser using native screenshots, Windows accessibility, and node-interception mouse/keyboard input, without CDP or Playwright.