MCP server for visual feedback, video direction, and QA assertions on web pages, enabling AI agents to read, reply, and resolve annotations in real time.
MCP server for collecting and resolving website feedback via AI; reviewers click elements and type requests, then AI agents pull fix prompts and resolve notes automatically.
An MCP server that gives AI agents real browser capabilities including screenshotting, action execution, data extraction, and multi-persona auditing for frontend validation.
An MCP server for in-loop design review of web previews. It enables agents to submit a preview URL, receive structured findings with suggested fixes, and recheck after applying changes, while never editing code itself.