MacOS-MCP

<!-- mcp-name: io.github.Jeomon/macos-mcp --> <div align="center"> <h1>🍎 macOS-MCP</h1> <a href="https://github.com/Jeomon/macos-mcp/blob/main/LICENSE"> <img src="https://img.shields.io/badge/license-MIT-green" alt="License"> </a> <img src="https://img.shields.io/badge/python-3.11%2B-blue" alt="Python"> <img src="https://img.shields.io/badge/platform-macOS%2012%2B-blue" alt="Platform: macOS 12+"> <img src="https://img.shields.io/github/last-commit/Jeomon/macos-mcp" alt="Last Commit"> </div>

Overview

macOS-MCP is a lightweight, open-source Model Context Protocol server that bridges AI agents and the macOS operating system. It enables seamless automation of macOS through LLMs via tasks such as file navigation, application control, UI interaction, browser automation, and system operations.

Supported Operating Systems

• macOS 12 (Monterey)
• macOS 13 (Ventura)
• macOS 14 (Sonoma)
• macOS 15 (Sequoia)
• macOS 26 (Tahoe)

Key Features

• Works with Any LLM (Vision Optional)
  Unlike traditional automation tools, macOS-MCP doesn't require computer vision, fine-tuned models, or specialized setup. Works seamlessly with any LLM—Claude, GPT, Gemini, or others.

• Native macOS Integration
  Interacts natively with macOS UI elements using the Accessibility API. Opens apps, controls windows, simulates user input, and captures desktop state without workarounds.

• Rich Toolset for Automation
  Complete toolkit for keyboard/mouse operations, window management, UI state capture, interactive element extraction from the accessibility tree, and AppleScript execution.

• Lightweight and Open-Source
  Minimal dependencies with full source code available under MIT license. Easy setup and deployment.

• Smart Context Awareness
  Automatically detects application state (Launchpad, Control Center, Spotlight). Scans menu bar, dock, desktop, and system UI elements intelligently.

• Customizable and Extensible
  Easily extend with custom tools or modify behavior to suit your specific automation needs.

Installation

Prerequisites

• Python: 3.11 or later
• UV Package Manager: Install with pip install uv or curl -LsSf https://astral.sh/uv/install.sh | sh
• macOS: 12 (Monterey) or later
• Accessibility Permissions: Required for UI element interaction

Quick Start

Run the server directly:

uvx macos-mcp

# Or with SSE/Streamable HTTP for network access
uvx macos-mcp --transport sse --host localhost --port 8000
uvx macos-mcp --transport streamable-http --host localhost --port 8000

Run it as a background service that starts now and at every login:

macos-mcp install

# Or choose the HTTP transport and bind address explicitly
macos-mcp install --transport sse --host 127.0.0.1 --port 8000

This installs a launchd Launch Agent at ~/Library/LaunchAgents/com.macos-mcp.server.plist. Use macos-mcp uninstall to remove it. Logs are written to ~/.macos-mcp/server.log and ~/.macos-mcp/server.error.log.

Transport Options

Transport	Flag	Use Case
stdio (default)	--transport stdio	Direct connection from MCP clients like Claude Desktop, Cursor, etc.
sse	--transport sse --host HOST --port PORT	Network-accessible via Server-Sent Events
streamable-http	--transport streamable-http --host HOST --port PORT	Network-accessible via HTTP streaming (recommended for production)

Grant Required Permissions

macOS-MCP requires Accessibility and Screen Recording permissions to function properly.

Accessibility Permissions

1. Open System Settings → Privacy & Security → Accessibility
2. Click the lock icon and authenticate
3. Add the following applications:
   • Your terminal application (Terminal, iTerm2, VS Code, etc.)
   • Python (typically /usr/bin/python3 or the Python version managed by UV)
   • UV (~/.local/bin/uv if installed locally, or the Pyth