MCP Feedback Enhanced

MCP Feedback Enhanced: This MCP server enables feedback-oriented development workflows by inserting human checkpoints into AI-assisted tasks via Web UI and desktop interfaces.

This tool functions as an MCP server to establish feedback-oriented workflows in AI-assisted development. It allows users to interact with AI agents by providing checkpoints, text input, and image uploads during long-running tasks. The server offers a dual-interface architecture, featuring a Web UI for remote or WSL environments and a Tauri-based desktop application for local use. It integrates with AI development platforms including Cursor, Cline, Windsurf, Augment, and Trae. Users can manage prompts, track session history, and receive real-time feedback through a WebSocket connection. By requiring confirmation for operations, it prevents speculative AI actions and reduces the need for rework.

MCP Feedback Enhanced at a glance

Best for: Software engineer
Runs on: Web, macOS, Windows, Linux
Pricing: Free
Released: May 2025
Category: AI coding tool
Website: github.com/Minidoracat/mcp-feedback-enhanced

Key features

Web UI for remote and WSL environments
Desktop application support via Tauri
WebSocket connection for real-time interaction
CRUD operations for AI prompt management
Session history tracking with export to JSON or CSV
Drag and drop image upload support
Automatic detection of SSH and WSL environments

Use it for

Adding human confirmation checkpoints to long-running AI tasks
Managing and sorting common AI prompts
Tracking and exporting development session history
Providing visual feedback to AI via image uploads

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