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Turn live UI feedback into an actionable backlog with element context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "loupe-mcp" yet — see the docs or source repo.
List all feedback comments pinned to the current product UI and organize them into a backlog by status.
A status-grouped feedback list suitable for triage and follow-up.
Open this feedback item and show the target element's HTML, computed styles, and screenshot so I can assess a fix.
The page context for the referenced element to help developers or designers diagnose the issue.
Mark this feedback item as resolved and update its status in the backlog.
The feedback status is updated and the backlog reflects the latest progress.
Developers or product managers can turn feedback pinned to a live UI into actionable backlog items, reducing manual transcription and missed issues. This helps teams move faster into planning or fixing.
When feedback refers to a specific UI element, users can open the comment and inspect the target element's HTML, computed styles, and screenshot. This makes it easier to understand the issue and plan changes.
After a team handles a UI feedback item, they can update its status directly to keep the backlog aligned with real progress. This is useful for collaboration across product, design, and engineering.
It turns product feedback pinned to a live UI into an actionable backlog, and supports listing comments, opening a comment with element context, and updating its status.
According to the description, opening a feedback item shows the target element's HTML, computed styles, and screenshot. This helps diagnose and understand UI issues.
The provided material does not include installation steps, runtime details, or key requirements. Please see the source repository for prerequisites.
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Analyze software UI screenshots for layout, functionality, and accessibility insights.
Provide AI coding tools with live UI annotations, screenshots, and structured context.