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Automation Mcp
What is Automation Mcp
Automation MCP is a Model Context Protocol (MCP) server that enables AI models to perform complete desktop automation on macOS, allowing control over mouse, keyboard, screen, and window management.
Use cases
Use cases include automating repetitive tasks, testing applications by simulating user interactions, creating AI-driven assistants that can navigate and control the desktop, and performing data analysis through screen content capture.
How to use
To use Automation MCP, install the furi tool and run ‘furi add ashwwwin/automation-mcp’ followed by ‘furi start automation-mcp’. Alternatively, clone the repository, install dependencies using Bun, and start the server with ‘bun run index.ts’.
Key features
Key features include mouse control (click, move, scroll, drag), keyboard input (including shortcuts), screenshot capabilities, window management (focus, move, resize, minimize), UI element interaction, screen color analysis, and image detection.
Where to use
Automation MCP can be used in various fields such as software testing, automated user interface interactions, AI assistant development, and any task requiring automated control of macOS environments.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Automation Mcp
Automation MCP is a Model Context Protocol (MCP) server that enables AI models to perform complete desktop automation on macOS, allowing control over mouse, keyboard, screen, and window management.
Use cases
Use cases include automating repetitive tasks, testing applications by simulating user interactions, creating AI-driven assistants that can navigate and control the desktop, and performing data analysis through screen content capture.
How to use
To use Automation MCP, install the furi tool and run ‘furi add ashwwwin/automation-mcp’ followed by ‘furi start automation-mcp’. Alternatively, clone the repository, install dependencies using Bun, and start the server with ‘bun run index.ts’.
Key features
Key features include mouse control (click, move, scroll, drag), keyboard input (including shortcuts), screenshot capabilities, window management (focus, move, resize, minimize), UI element interaction, screen color analysis, and image detection.
Where to use
Automation MCP can be used in various fields such as software testing, automated user interface interactions, AI assistant development, and any task requiring automated control of macOS environments.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🤖 Automation MCP
Automation MCP is a Model Context Protocol (MCP) server that provides AI models with complete desktop automation capabilities on macOS. It enables AI assistants to:
- 🖱️ Control your mouse (click, move, scroll, drag)
- ⌨️ Type and send keyboard input (including system shortcuts)
- 📸 Take screenshots and analyze screen content
- 🪟 Manage windows (focus, move, resize, minimize)
- 🎯 Interact with UI elements through coordinates
- 🎨 Analyze screen colors and highlight regions
- 🔍 Wait for images to appear on screen
🚀 Quick start
Make sure you have furi installed, and then run the following command:
furi add ashwwwin/automation-mcp
followed by:
furi start ashwwwin/automation-mcp
and you’re done! (or you can just use the furi desktop app for no cli).
🥲 Normal start (without furi)
Prerequisites
- Bun runtime - Install with:
curl -fsSL https://bun.sh/install | bash
1. Clone and Install
git clone https://github.com/ashwwwin/automation-mcp.git
cd automation-mcp
bun install
2. Start the Server
# Start with HTTP transport (recommended for web apps)
bun run index.ts
# Or start with stdio transport (for command line tools)
bun run index.ts --stdio
3. Grant Permissions
On first run, macOS will ask for permissions. You must grant these for full functionality:
- Accessibility - Allows keyboard/mouse control
- Screen Recording - Enables screenshots and screen analysis
Or manually enable in: System Settings → Privacy & Security → Accessibility/Screen Recording
🛠️ Available Tools
🖱️ Mouse Control
mouseClick
- Click at coordinates with left/right/middle buttonmouseDoubleClick
- Double-click at coordinatesmouseMove
- Move cursor to positionmouseGetPosition
- Get current cursor locationmouseScroll
- Scroll in any directionmouseDrag
- Drag from current position to targetmouseButtonControl
- Press/release mouse buttonsmouseMovePath
- Follow a smooth path with multiple points
⌨️ Keyboard Input
type
- Type text or press key combinationskeyControl
- Advanced key press/release controlsystemCommand
- Common shortcuts (copy, paste, undo, save, etc.)
📸 Screen Capture & Analysis
screenshot
- Capture full screen, regions, or specific windowsscreenInfo
- Get screen dimensionsscreenHighlight
- Highlight screen regions visuallycolorAt
- Get color of any pixelwaitForImage
- Wait for images to appear (template matching)
🪟 Window Management
getWindows
- List all open windowsgetActiveWindow
- Get current active windowwindowControl
- Focus, move, resize, minimize windows
🔒 Security & Permissions
-
Accessibility - Required for:
- Mouse clicks and movement
- Keyboard input simulation
- Window management
-
Screen Recording - Required for:
- Taking screenshots
- Screen analysis
- Color detection
🚀 Integration Examples
With Claude Desktop + furi
If you’ve already configured furi with Claude Desktop, you don’t need to do anything.
Add to your MCP configuration:
{
"mcpServers": {
"furi": {
"command": "furi",
"args": [
"connect"
]
}
}
}
With Claude Desktop
Add to your MCP configuration:
{
"mcpServers": {
"automation": {
"command": "bun",
"args": [
"run",
"/path/to/automation-mcp/index.ts",
"--stdio"
]
}
}
}
🐛 Troubleshooting
Common Issues
Permission Denied Errors
- Ensure Accessibility and Screen Recording permissions are granted
- Ensure Xcode Command Line Tools:
xcode-select --install
🙋♂️ Support
Having issues? Check the troubleshooting section above or open an issue with:
- Your operating system and version
- Error messages
- Steps to reproduce
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.