$ loading_
Collect visual browser feedback and send actionable annotations to Claude Code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Browser Feedback MCP" yet — see the docs or source repo.
Open the browser feedback tool. I will mark button and spacing issues on the page. After receiving the annotations, summarize each issue with location, symptoms, and suggested fixes, then prioritize them.
A prioritized UI issue list with locations and recommended fixes.
I will annotate interaction issues in the browser one by one. Convert this feedback into an actionable development task list, including problem description, acceptance criteria, and estimated impact for each item.
A structured development task list ready for sprint planning.
During the page review, I will annotate multiple areas with comments. Organize the feedback in real time, group it by page section, and list follow-up actions for design, product, and engineering separately.
Review notes grouped by page section, plus follow-up actions by role.
Browse pages, inspect console/network logs, and crawl HTML documentation links.
Build feedback-driven workflows that confirm with users and reduce tool-call costs.
Collect text, screenshots, and page-element feedback through a Chrome extension.
Add interactive confirmations and feedback to AI workflows to reduce speculative tool calls.
Collect interactive user feedback with text and image support through a modern GUI.
Create feedback-driven AI workflows with user confirmation to reduce risky actions.