macos-mcp 0.3.1

MCP Server for interacting with macOS Desktop.

🍎 macOS-MCP

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)

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

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 Python environment UV manages)
4. Restart the terminal after granting permissions

For uvx users: Grant permissions to your terminal application and Python, as uvx runs Python packages from UV's cache.

Screen Recording Permissions

The Snapshot tool requires Screen Recording permissions to capture screenshots:

1. Open System Settings → Privacy & Security → Screen Recording
2. Click the lock icon and authenticate
3. Add the same applications as above (terminal, Python, UV)
4. Restart the terminal after granting permissions

Note: If the Snapshot tool fails, verify both permissions are granted in System Settings.

Integration Options

Claude Desktop

1. Install Claude Desktop

2. Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "macos-mcp": {
      "command": "uvx",
      "args": ["macos-mcp"]
    }
  }
}

3. Restart Claude Desktop

Gemini CLI

1. Install Gemini CLI:

npm install -g @google/gemini-cli

2. Navigate to ~/.gemini and open settings.json

3. Add the server config:

{
  "theme": "Default",
  "mcpServers": {
    "macos-mcp": {
      "command": "uvx",
      "args": ["macos-mcp"]
    }
  }
}

4. Restart Gemini CLI

Claude Code

1. Install Claude Code

2. Add to your project configuration or use the MCP marketplace integration

Pi Agent

Pi does not ship with built-in MCP support, but macOS-MCP can be installed as a Pi package. The package starts this MCP server over stdio and exposes convenient Pi tools that wrap the existing macOS-MCP tools.

One-line global setup:

pi install git:github.com/CursorTouch/MacOS-MCP

After install, restart Pi or run:

/reload

Try without installing:

pi -e git:github.com/CursorTouch/MacOS-MCP

Local checkout setup:

git clone https://github.com/CursorTouch/MacOS-MCP.git
cd MacOS-MCP
uv sync
npm install
pi

If you copied only the extension into another Pi project, run Pi from the macOS-MCP checkout or set:

export MACOS_MCP_ROOT=/path/to/MacOS-MCP

The extension exposes these Pi tools:

Pi Tool	Purpose
mac_snapshot	Read current macOS UI state through the existing Snapshot tool.
mac_app	Launch, switch, move, or resize macOS applications/windows.
mac_click	Click coordinates returned by mac_snapshot.
mac_type	Type text at coordinates returned by mac_snapshot.
mac_shortcut	Run keyboard shortcuts such as command+c or command+space.
mac_scroll	Scroll at the current pointer or coordinates.
mac_wait	Wait for UI changes/loading.

Recommended agent workflow:

• Call mac_snapshot first.
• Use the coordinates returned by Snapshot with mac_click, mac_type, and mac_scroll.
• Use screenshots/vision only when Accessibility data is missing or ambiguous.

The extension auto-detects the macOS-MCP checkout when installed as a Pi package. If you use a manually copied extension, set MACOS_MCP_ROOT=/path/to/MacOS-MCP.

Other Integrations

Any client supporting the Model Context Protocol can integrate macOS-MCP by configuring the uvx macos-mcp command in their MCP server settings.

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MCP Tools

macOS-MCP provides a comprehensive toolset for desktop automation:

Tool	Purpose
Click	Click at coordinates with support for left, right, and double-click
Type	Type text at cursor position, optionally clearing existing text
Scroll	Scroll vertically or horizontally in focused window or regions
Move	Move mouse pointer or drag to coordinates
Shortcut	Press keyboard shortcuts (Cmd+C, Cmd+Tab, etc.)
App	Launch applications, manage windows (resize/move), switch between apps. Supports app names and bundle IDs
Shell	Execute commands or AppleScript. Use mode='osascript' for AppleScript
Scrape	Extract and convert webpage content to Markdown format
Wait	Pause execution for a defined duration

Limitations

• Accessibility Requirements: Manual permission grant required in System Preferences
• App Compatibility: Some applications have limited or no Accessibility API support
• Performance Variance: Complex UIs with many elements may have slower traversal
• Text Input: Some specialized input fields may not properly receive keystrokes
• Authentication: Cannot interact with system authentication dialogs

Security

⚠️ Important Security Notice: macOS-MCP operates with full Accessibility API permissions and executes real system operations without sandboxing. It can perform permanent, irreversible actions.

Before using macOS-MCP:

• ✅ Grant Accessibility permissions only to trusted applications
• ✅ Understand that Shell commands execute with full user privileges
• ✅ Review AI-generated action plans before execution
• ✅ Use only in virtual machines or isolated environments with valueless data
• ✅ Create backups before testing in production-like scenarios

⛔ Do NOT use on:

• Systems with irreplaceable data
• Production machines or shared systems
• Compliance-regulated environments (HIPAA, PCI, etc.)

For detailed security guidance, see SECURITY.md.

Contributing

We welcome contributions! Please see CONTRIBUTING.md for:

• Development setup and code standards
• Testing requirements
• Pull request process
• Coding conventions (Ruff formatting, 100 char line length)

License

macOS-MCP is licensed under the MIT License - see LICENSE for details.

Acknowledgements

macOS-MCP is built with excellent open-source projects:

• PyObjC - Python to Objective-C bridge
• Pillow - Python Imaging Library
• FastMCP - MCP framework
• macOS Accessibility API (ApplicationServices)

Citation

If you use macOS-MCP in your research or project, please cite:

@software{macos-mcp,
  author       = {Jeomon George},
  title        = {macOS-MCP: Lightweight MCP Server for macOS Automation},
  year         = {2025},
  publisher    = {GitHub},
  url          = {https://github.com/Jeomon/macos-mcp}
}

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Questions or Issues? Open an issue or check SECURITY.md for security concerns.