Let AI inspect, control, and debug pywebview desktop web UIs without code changes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pywebview-mcp" yet — see the docs or source repo.
Connect to pywebview-mcp, open my pywebview app, inspect why the Submit button does nothing when clicked, identify possible frontend event binding issues or console errors, and suggest a fix.
A report with interaction findings, error diagnosis, and actionable fix suggestions.
Use pywebview-mcp to run a regression test on this desktop app: launch it, log in, open the settings page, change the theme, save, verify the confirmation message appears, and summarize each step.
A full step-by-step execution report with pass/fail status and diagnostics for failed steps.
Use pywebview-mcp to inspect the app’s main screen, identify layout and usability issues like overlapping buttons, text overflow, or hidden inputs, and rank them by severity.
A prioritized issue list with impact notes and recommended UI improvements.
Let AI operate Windows desktops for UI automation, OCR, and verification.
Lets AI control Windows desktop apps with UI automation, OCR, and verification.
Control webpages through AI for navigation, clicks, screenshots, and content reading.
Let AI control a real browser for navigation, forms, and web tasks.
Automate browsers to capture page data, logs, and network insights for testing.
Automate browser actions, extraction, and testing workflows locally with Playwright tools.