MacOS-MCP

<div align="center"> <h1>🍎 MacOS-MCP</h1>

<a href="https://github.com/Jeomon/macos-mcp/blob/main/LICENSE"> </a>

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macOS-MCP is a lightweight, open-source project that enables seamless integration between AI agents and the macOS operating system. Acting as an MCP server, it bridges the gap between LLMs and macOS, allowing agents to perform tasks such as file navigation, application control, UI interaction, browser automation, and more.

• macOS 12 (Monterey)
• macOS 13 (Ventura)
• macOS 14 (Sonoma)
• macOS 15 (Sequoia)

• Seamless macOS Integration

Interacts natively with macOS UI elements using the Accessibility API, opens apps, controls windows, simulates user input, and more.

• Use Any LLM (Vision Optional)

Unlike many automation tools, macOS-MCP doesn't rely on traditional computer vision techniques or specific fine-tuned models. It works with any LLM, reducing complexity and setup time.

• Rich Toolset for UI Automation

Includes tools for keyboard and mouse operations, capturing window/UI state, and extracting interactive elements from the accessibility tree.

• Lightweight and Open-Source

Minimal dependencies and easy setup with full source code available under MIT license.

• Customizable and Extendable

Easily adapt or extend tools to suit your unique automation or AI integration needs.

• Support for Launchpad and System UI

Automatically detects when Launchpad is open and adjusts scanning behavior accordingly. Scans Control Center, Spotlight, and menu bar elements.