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.
An MCP server that establishes feedback-oriented development workflows with a Web UI and desktop app, allowing users to provide interactive feedback to AI models through prompts, images, and session tracking.
An MCP server that watches for screen recordings, transcribes spoken feedback locally, and attaches each comment to the relevant frame, enabling coding agents to see and fix the issues you mention.
An MCP server for tracking issues across multiple AI agent sessions, enabling agents to file, claim, complete, review, and close issues with a web UI for monitoring.
An MCP server that gives AI coding assistants QA superpowers, enabling users to report bugs by pointing, clicking, or typing while automatically capturing diagnostic data for AI-driven test-feedback-fix loops.