"How to control 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.

Give AI agents eyes and hands on macOS.

MCP server to control Arc Browser on macOS via AppleScript, enabling tab, window, space, and page operations along with frontend/backend development tools like network monitoring, console capture, and API testing.

A lightweight MCP server that bridges AI agents and macOS, enabling automation of file navigation, application control, UI interaction, browser automation, and system operations.

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.

MCP server for semi-manual QA test execution on real Smart TVs (Tizen/webOS) and local Chrome via Chrome DevTools Protocol, enabling remote control, state inspection, and profiling.

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.

Enables MCP clients to open and close applications, files, and folders on a Windows machine, manage running apps and File Explorer windows, control Chrome tabs, and perform system actions like shutdown and restart.

A Playwright-powered MCP server for browser automation using ARIA snapshots and element refs, enabling LLMs to control Chrome/Edge without CSS selectors.

Enables inspection and control of Arc Browser spaces and tabs on macOS, including reading sidebar/history data and performing actions like focusing spaces, creating and closing tabs.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

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

Enables programmatic control of Safari browser on macOS for web automation, testing, and debugging via the Model Context Protocol.

Enables AI agents to fully control a browser for web automation, including navigation, clicking, typing, scrolling, screenshots, and DOM inspection, with session persistence and anti-bot bypass.

Enables AI agents to control the user's Chrome or Firefox browser, leveraging existing sessions for tasks requiring authentication and user handoff.

Lets any number of concurrent Claude Code sessions drive a Firefox browser through the Browser Control extension by funneling every session's commands over a single shared port via a background daemon and private unix socket. Sessions no longer have to compete for a limited pool of extension ports, and requests stay isolated through per-request correlation ids.