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Read and resolve UI feedback reports for AI-built apps via MCP.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Patchrooms" MCP server from askskill: Run: claude mcp add --transport http 'io-github-liknens-patchrooms' 'https://room.patchrooms.com/mcp'
Use Patchrooms to read all open UI feedback reports for the current project, organize them by severity, page path, and submission time, and highlight the issues that should be prioritized.
A prioritized feedback list with key issue summaries and recommended next actions.
Use Patchrooms to find open feedback related to the 'misaligned button on the login page,' verify the descriptions, close the reports that have been fixed, and provide a summary of the closure results.
A closure summary showing matched reports and their final status.
Use Patchrooms to read UI feedback added in the last week, filter issues related to visual consistency, and compile them into a QA checklist for designers and developers.
A visual-consistency QA checklist for coordinated review by design and development teams.
Create feedback-driven AI workflows with user confirmation to reduce risky actions.
Collect interactive user feedback with text and image support through a modern GUI.
Add interactive confirmations and feedback to AI workflows to reduce speculative tool calls.
Collect live app feedback for AI agents to read and fix issues.
Collect interactive user feedback for AI-assisted development via web and desktop apps.
Collect interactive user feedback before AI takes actions in development workflows.