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mcp-computer-use
Enterprise-grade macOS MCP server that gives your AI agent eyes, hands, and a terminal.
Tools
Screenshot / display
screenshot— capture a display and return a base64 PNG.screenshot_region— capture a region of the screen.get_display_info— list connected displays.get_cursor_position— get the mouse pointer location.ocr_screenshot— run OCR on the screen and return all text.find_text_on_screen— find bounding boxes of text on the screen.
Mouse / keyboard
mouse_move,mouse_click,mouse_scrollkeyboard_type,key,hold_key
System / apps
open_app— open/activate an app by name.list_windows— list visible windows.focus_window— focus a window.clipboard_get,clipboard_setrun_shell_command— run a shell command (allowlisted).confirm_sensitive_action— approve a pending shell or file action.get_status— show server status and permission state.stop— stop the MCP server process.
File system
read_file,write_file,list_dir,delete_file
OCR / automation
ocr_screenshot,find_text_on_screenclick_text— click text found by OCR.
Processes
process_start— start a long-running shell command.process_read— read output from a running process.process_kill— send a signal to a running process.
Batch
batch_operations— run a JSON list of operations sequentially.
Setup
cd /Users/curnutte/CascadeProjects/mcp-computer-use
python3.11 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Permissions
Grant your terminal/IDE the following permissions in System Settings → Privacy & Security:
- Screen Recording — needed for screenshots, OCR, and Quartz window listing.
- Accessibility — needed for mouse/keyboard control and window focus.
- Input Monitoring — needed for the
Ctrl+Alt+Qglobal kill switch (pynput will warn until this is granted).
If the pynput warning "This process is not trusted! Input event monitoring will not be possible..." appears, the kill switch is armed but cannot receive hotkeys until the host process is added to Input Monitoring.
Test
source .venv/bin/activate
python test_client.py
Windsurf config
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"mcp-computer-use": {
"command": "/Users/curnutte/CascadeProjects/mcp-computer-use/.venv/bin/python",
"args": ["-m", "mcp_computer_use"],
"cwd": "/Users/curnutte/CascadeProjects/mcp-computer-use"
}
}
}
Restart Windsurf.
Using the skill
The use_skill.py script demonstrates how the server can be used to run terminal commands and manage the project.
source .venv/bin/activate
python use_skill.py
Configuration
Create ~/.mcp-computer-use/config.json to override defaults:
{
"max_screenshot_dim": 1280,
"allowed_shell_commands": ["git", "python", "python3", "node", "npm", "ls", "pwd", "cat", "echo", "which"],
"blocked_shell_commands": ["rm -rf", "sudo", "mkfs", "dd", ">/dev/null", "shutdown", "reboot", "poweroff"],
"confirm_sensitive": true
}
Kill switch
The server arms a global Ctrl+Alt+Q hotkey via pynput when supported. If it cannot be armed, the server still runs and the process can be killed by the user or an agent calling the stop tool.
Menu-bar app (experimental)
A native macOS menu-bar wrapper lives in MacMenuBar/. It keeps mcp-computer-userunning in the top-right status bar, so the server works from any IDE or CLI:
cd MacMenuBar/MCPMenuBar
./build_app.sh
./install.sh
Then load the LaunchAgent and point your IDE MCP config atMacMenuBar/bridge/mcp_bridge.py. See MacMenuBar/README.md andMacMenuBar/integration.md for full details.
License
MIT