Enables coding agents to submit a public preview URL and acceptance stories for independent QA, returning pass/fail evidence packs with screenshots and supporting human notes on failures.
Enables AI assistants to request human input by creating tasks on Amazon Mechanical Turk, integrating human-in-the-loop capabilities via the MCP standard.
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.
MCP server for FirstHandAPI that enables AI agents to create and manage human-in-the-loop data collection jobs (photos, audio, video, screen recordings) with automated AI quality scoring.