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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.
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.
Create feedback-driven AI workflows with user confirmation to reduce risky actions.
Collect interactive user feedback before AI takes actions in development workflows.
Lets AI control the browser for web actions, extraction, and testing.