Let AI see and control a computer for complex desktop automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ControlMCP" yet — see the docs or source repo.
Connect to my computer interface and run a regression test for the target app with the flow “log in → create a new project → save → exit.” Before each action, capture the screen and confirm the UI state, then click or type as needed. If a button is missing, a dialog is abnormal, or saving fails, stop and report the issue location, screenshot notes, and reproduction steps.
A step-by-step test execution report with annotated screenshots and failure details.
Control the computer to open the browser, sign in to the admin system, go to the reports page, and export the daily, weekly, and monthly sales reports as Excel files in order. Save them to the Reports folder on the desktop. If a page loads slowly, wait and retry. When finished, return each file path and an execution log.
Saved report files, their paths, and a complete action log.
Review the email, spreadsheet, and web admin page currently on screen without closing any open windows. Extract customer details from the email, verify order numbers in the spreadsheet, and switch to the admin form to fill in each field. After each customer, record the completion result. If any field does not match or data is missing, mark it for manual review.
A list of completed form entries and flagged exceptions needing manual review.
Control a computer automatically using mouse, keyboard, OCR, and window management.
Let AI control macOS apps, mouse, and keyboard to automate tasks.
View screens and control mouse and keyboard for remote computer operations.
Let AI see and control a Linux desktop for visual task automation.
Control a browser through MCP for web actions, form filling, and screenshots
Enable AI to automate macOS tasks via AppleScript, JXA, and Automator workflows.