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.
Enables real-time user intervention for MCP agents via a Web UI and interactive_feedback tool, allowing users to review context and send instructions when agents drift from intent.
Enables AI agents to collect, retrieve, and manage feedback on static HTML mockups through 9 MCP tools, with support for local or remote data and stdio/HTTP transports.
Enables interactive feedback collection through a web interface with support for image uploads, extended timeout handling, and offline reconnection capabilities for long-running AI conversations.
MCP server that synthesizes user feedback from multiple sources into actionable insights. Aggregates reviews, support tickets, and survey responses to identify patterns and priorities.
