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Capture app screenshots for coding agents to inspect output and self-correct.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "screenshot-feedback-hook-mcp" yet — see the docs or source repo.
Run the local frontend app, open the homepage, and capture a screenshot of the current window. Check whether the navbar, buttons, and card layout are misaligned; if you find styling issues, update the code and take another screenshot to verify.
A page screenshot, detected layout issues, and a verified result after the fix.
Launch the desktop app and perform the login flow. After clicking "Login," capture a screenshot to inspect the UI response. Confirm whether an error message, loading state, or successful redirect appears; if not, analyze and fix it.
Key-step screenshots, interaction state assessment, and fixes or recommendations for abnormal behavior.
Run post-build automated checks, open the main pages one by one, and capture screenshots to compare with the expected UI. List visual regression issues such as color, spacing, font, or missing components, and assign fix priorities.
Screenshot comparison findings, a visual regression issue list, and prioritized fixes.
Let an LLM inspect your screen via monitor or window captures.
Capture Windows desktop screenshots so AI can inspect interfaces for development and debugging.
Let AI capture Windows screenshots for troubleshooting, review, and visual context.
Capture cross-platform screenshots with timestamp overlays, region selection, and file management.
Capture Windows screens and automate window, mouse, and keyboard actions silently.
Capture targeted app window screenshots with smart focus and state restoration.