mcp-feedback-enhanced is a human-in-the-loop orchestrator and feedback tool for the Model Context Protocol. It provides a graphical interface for reviewing and approving AI-driven operations to prevent automated execution errors, using a socket-based system to synchronize state between backend AI processes and a user-facing interface.
The project distinguishes itself by supporting a cross-platform deployment model available via native desktop wrappers and web browsers. It includes environment-aware context detection to identify if the system is running locally, via SSH, or within WSL, allowing the coordination of user confirmations and media uploads across diverse remote development workflows.
The system covers several operational areas, including session management for tracking interaction history and auditing AI behavior, and prompt management for organizing reusable text templates. It also incorporates an event-driven notification system with audio and system alerts, as well as automated feedback timers to reduce manual input during repetitive confirmation loops.
