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Autonomously debug web or desktop UIs with structured findings and evidence.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "UI Debugger MCP" yet — see the docs or source repo.
Use UI Debugger MCP to test the web login flow: open the login page, enter a test account, submit the form, and verify whether the dashboard loads successfully. Return pass/fail results for each step, screenshot evidence, console errors, and reproduction notes.
A structured test report with step-level pass/fail status, screenshots, error details, and debugging clues.
Use UI Debugger MCP to debug the desktop app file import flow: open the app, go to the import page, select a sample file, start the import, and check progress messages, success status, and error dialogs with supporting evidence.
Return structured findings for the import flow, highlighting failed steps, UI behavior, and relevant screenshots.
Use UI Debugger MCP to validate the user story 'Users can filter the order list': open the orders page, filter by date and status, verify the result list, empty state, reset button, and interaction feedback, then summarize any issues found.
Output a user-story-based acceptance report with passes, failures, evidence, and follow-up fix suggestions.
Debug Python with natural language, tests, breakpoints, and variable inspection.
Run Playwright UI automation via AI and get reports with screenshots.
Debug Node.js programs via V8 Inspector with breakpoints and variable inspection.
Control a browser with AI for automation, extraction, interception, and screenshots.
Connect Chrome DevTools so AI can debug pages and inspect performance.
Inspect, control, and debug React Native apps in simulators and emulators.