"Control applications in macOS" matching MCP servers:

Provides native macOS desktop automation for AI agents, enabling screen capture, mouse/keyboard control, window management, and iOS/Android simulator control in both foreground and background modes without focus stealing.

Enables full desktop automation on macOS through natural language, including mouse control, keyboard input, screen capture, and GUI interaction using PyAutoGUI.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Provides a Model Context Protocol server for executing AppleScript and JavaScript for Automation scripts on macOS, featuring a knowledge base of pre-defined scripts and supporting automation of macOS applications and system functions.

Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.

Enables Claude to control the macOS Mail app for reading, searching, drafting, sending, and managing emails directly from Claude Desktop.

Enables AI to remotely control macOS systems via VNC with full desktop capabilities including screenshots, mouse control, keyboard input, and application management. Includes a web-based chat interface for natural language control.

Enables AI assistants to read, create, update, and delete data in macOS apps (Reminders, Calendar, Notes, Mail, Messages, Contacts) via natural language, using EventKit, JXA, and SQLite backends.

Enables controlling macOS applications via accessibility APIs, supporting actions like clicking, typing, and keyboard input through MCP commands.

Enables AI agents to operate websites and Windows desktop applications by reading and acting on webpage elements, exposed UI controls, and screenshots with mouse and keyboard input. Combines browser, desktop, and computer-control channels in a single task, with an optional target selector for batched actions.

Enables Claude to see and interact with any macOS application using natural language commands. Perfect for testing Mac applications, UI automation, and app development with AI assistance.

Enables AI MCP clients to control macOS through screenshots, mouse clicks, scrolling and dragging, Unicode keyboard input and shortcuts, clipboard access, and window management, with multi-monitor and Retina coordinate handling plus visual action feedback.

A fast MCP server for opening, focusing, and quitting macOS apps, and opening URLs in the browser, usable by voice or from any MCP client.

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

An MCP server that lets Claude read and write your Things 3 tasks on macOS via AppleScript.

Provides full access to Hookmark on macOS, enabling users to create and manage bidirectional links between files, URLs, emails, and notes. It supports searching bookmarks, connecting items, and retrieving links from active applications through natural language.

Enables generating TOTP verification codes on macOS using seeds stored in the login keychain, with optional seed import, removal, and sharing with Passwords.app for automated publishing and other gated tasks.

Enables LLM clients to handle leave applications by providing tools for initialization, organization selection, leave day calculation, attachment checks, uploads, and submission, with built-in business validation and environment switching.

Lets MCP clients such as Claude Code, Codex, Cursor, and VS Code drive the Grok Bot desktop app on macOS by listing the user's bots, reading their chats, sending them messages, and answering their multiple-choice questions locally without API keys. All actions run live in the real app via the macOS Accessibility API, with no network calls, telemetry, or dependencies.

Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.