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  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to control macOS by capturing screenshots and performing mouse clicks, movement, dragging, text typing, hotkeys, and scrolling, with support for Gemini's normalized coordinate protocol and Retina display scaling.
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server for AI agents to control a Mac via screen and mouse/keyboard, supporting Anthropic Claude and OpenAI for task automation.
    236 npm
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    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.
    18
    138 npm
    7
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Enables AI agents to interact with macOS applications (Finder, Mail, Contacts, Reminders, Notes, Calendar, TextEdit) using AppleScript. Allows AI assistants to perform tasks like searching contacts, managing files, checking email, and creating reminders through natural language.
    24
    1
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Exposes Anthropic's computer-use action surface (screenshot, click, move, keyboard, clipboard, batch) against a persistent desktop display via MCP stdio protocol. Enables AI agents to control a virtual desktop environment through natural language instructions.
    24
    MIT
  • F
    license
    B
    quality
    C
    maintenance
    Enables safe scanning and cleaning of macOS developer caches and temporary files, with dry-run support and strict refusal to delete non-whitelisted locations.
    3
    -
  • A
    license
    Not graded
    quality
    A
    maintenance
    MCP server that enables Claude to control your computer, similar to Anthropic's computer use but easy to set up locally.
    446 npm
    384
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    A minimal macOS GUI-automation MCP server providing tools to see app state, perform actions, manage apps, send notifications, and run AppleScripts with security boundaries.
    -
  • A
    license
    A
    quality
    C
    maintenance
    Enables MCP-speaking clients to control a real desktop via the computer_use tool, including clicking, typing, scrolling, dragging, key combos, app focus, and screen/accessibility capture. It also provides a verdict system that verifies whether input actions had their intended effect, with configurable approval modes.
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Self-learning macOS automation MCP server that remembers successful patterns and avoids repeated failures, enabling AI agents to execute multi-step workflows via reusable recipes.
    11
    6 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.
    14
    1 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to drive a Linux/X11 desktop via AT-SPI accessibility-tree perception and element-level actions, avoiding screenshots and coordinate clicking.
    14
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    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.
    2
    32
    14
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Provides full control of a macOS system, enabling AI agents to execute shell commands, run AppleScript, manage files and processes, and perform human-like GUI interactions such as clicking, dragging, scrolling, and typing, with a screenshot-based perception loop.
    26
    44 npm
    MIT