MCP Feedback Enhanced

🌐 Language / 語言切換: English | 繁體中文 | 简体中文

Original Author: Fábio Ferreira | Original Project ⭐
Enhanced Fork: Minidoracat
UI Design Reference: sanshao85/mcp-feedback-collector

🎯 Core Concept

This is an MCP server that implements human-in-the-loop workflows in AI-assisted development tools. By guiding AI to confirm with users rather than making speculative operations, it can consolidate up to 25 tool calls into a single feedback-oriented request, dramatically reducing platform costs.

Supported Platforms: Cursor | Cline | Windsurf

🔄 Workflow

1. AI Call → mcp-feedback-enhanced
2. Environment Detection → Auto-select appropriate interface
3. User Interaction → Command execution, text feedback, image upload
4. Feedback Delivery → Information returns to AI
5. Process Continuation → Adjust or end based on feedback

🌟 Key Features

🖥️ Dual Interface System

• Qt GUI: Native experience for local environments, modular refactored design
• Web UI: Modern interface for remote SSH environments, brand new architecture
• Smart Switching: Auto-detect environment and choose optimal interface

🎨 Brand New Interface Design (v2.1.0)

• Modular Architecture: Both GUI and Web UI adopt modular design
• Centralized Management: Reorganized folder structure for easier maintenance
• Modern Themes: Improved visual design and user experience
• Responsive Layout: Adapts to different screen sizes and window dimensions

🖼️ Image Support

• Format Support: PNG, JPG, JPEG, GIF, BMP, WebP
• Upload Methods: Drag & drop files + clipboard paste (Ctrl+V)
• Auto Processing: Smart compression to ensure 1MB limit compliance

🌏 Multi-language

• Three Languages: English, Traditional Chinese, Simplified Chinese
• Smart Detection: Auto-select based on system language
• Live Switching: Change language directly within interface

🖥️ Interface Preview

Qt GUI Interface (Refactored Version)

Qt GUI Interface - Modular refactoring, supporting local environments

Web UI Interface (Refactored Version)

Web UI Interface - Brand new architecture, suitable for SSH Remote environments

Keyboard Shortcuts

• Ctrl+Enter: Submit feedback (supports both main keyboard and numpad)
• Ctrl+V: Directly paste clipboard images

🚀 Quick Start

1. Installation & Testing

# Install uv (if not already installed)
pip install uv

# Quick test
uvx mcp-feedback-enhanced@latest test

2. MCP Configuration

Basic Configuration (suitable for most users):

{
  "mcpServers": {
    "mcp-feedback-enhanced": {
      "command": "uvx",
      "args": ["mcp-feedback-enhanced@latest"],
      "timeout": 600,
      "autoApprove": ["interactive_feedback"]
    }
  }
}

Advanced Configuration (Custom Environment):

{
  "mcpServers": {
    "mcp-feedback-enhanced": {
      "command": "uvx",
      "args": ["mcp-feedback-enhanced@latest"],
      "timeout": 600,
      "env": {
        "FORCE_WEB": "true",
        "MCP_DEBUG": "false",
        "MCP_HOST": "0.0.0.0",
        "MCP_PORT": "8888"
      },
      "autoApprove": ["interactive_feedback"]
    }
  }
}

3. Prompt Engineering Setup

For best results, add these rules to your AI assistant:

# MCP Interactive Feedback Rules

1. During any process, task, or conversation, whether asking, responding, or completing stage tasks, must call MCP mcp-feedback-enhanced.
2. When receiving user feedback, if feedback content is not empty, must call MCP mcp-feedback-enhanced again and adjust behavior based on feedback.
3. Only when user explicitly indicates "end" or "no more interaction needed" can you stop calling MCP mcp-feedback-enhanced, then the process is complete.
4. Unless receiving end command, all steps must repeatedly call MCP mcp-feedback-enhanced.
5. Before completing the task, use the MCP mcp-feedback-enhanced to ask the user for feedback.

⚙️ Advanced Settings

Environment Variables

Variable	Purpose	Values	Default
FORCE_WEB	Force use Web UI	true/false	false
MCP_DEBUG	Debug mode	true/false	false
MCP_HOST	Web UI hostname	Valid hostname/IP	127.0.0.1
MCP_PORT	Web UI port	Valid port number	8765

Testing Options

# Version check
uvx mcp-feedback-enhanced@latest version       # Check version

# Interface-specific testing
uvx mcp-feedback-enhanced@latest test --gui    # Quick test Qt GUI
uvx mcp-feedback-enhanced@latest test --web    # Test Web UI (auto continuous running)

# Specify Web UI host and port
uvx mcp-feedback-enhanced@latest test --web --host=0.0.0.0 --port=8888    # Specify host and port
MCP_HOST=0.0.0.0 MCP_PORT=8888 uvx mcp-feedback-enhanced@latest test      # Using environment variables

# Debug mode
MCP_DEBUG=true uvx mcp-feedback-enhanced@latest test

Developer Installation

git clone https://github.com/Minidoracat/mcp-feedback-enhanced.git
cd mcp-feedback-enhanced
uv sync

Local Testing Methods

# Method 1: Standard test (recommended)
uv run python -m mcp_feedback_enhanced test

# Method 2: Complete test suite (macOS and Windows dev environment)
uvx --with-editable . mcp-feedback-enhanced test

# Method 3: Interface-specific testing
uvx --with-editable . mcp-feedback-enhanced test --gui    # Quick test Qt GUI
uvx --with-editable . mcp-feedback-enhanced test --web    # Test Web UI (auto continuous running)

Testing Descriptions

• Standard Test: Complete functionality check, suitable for daily development verification
• Complete Test: Deep testing of all components, suitable for pre-release verification
• Qt GUI Test: Quick launch and test of local graphical interface
• Web UI Test: Start Web server and keep running for complete Web functionality testing

🆕 Version History

📋 Complete Version History: RELEASE_NOTES/CHANGELOG.en.md

Latest Version Highlights (v2.2.2)

• 🔄 Timeout Auto-cleanup: Fixed GUI/Web UI not automatically closing after MCP session timeout
• 🛡️ Resource Management Optimization: Improved timeout handling mechanism to ensure proper cleanup of all UI resources
• 🎯 QTimer Integration: Introduced precise QTimer timeout control mechanism in GUI

🐛 Common Issues

Q: Getting "Unexpected token 'D'" error
A: Debug output interference. Set MCP_DEBUG=false or remove the environment variable.

Q: Chinese character garbled text
A: Fixed in v2.0.3. Update to latest version: uvx mcp-feedback-enhanced@latest

Q: Image upload fails
A: Check file size (≤1MB) and format (PNG/JPG/GIF/BMP/WebP).

Q: Web UI won't start A: Set FORCE_WEB=true or check firewall settings.

Q: UV Cache taking up too much disk space A: Due to frequent use of uvx commands, cache may accumulate to tens of GB. Regular cleanup is recommended:

# Check cache size and detailed information
python scripts/cleanup_cache.py --size

# Preview cleanup content (without actually cleaning)
python scripts/cleanup_cache.py --dry-run

# Execute standard cleanup
python scripts/cleanup_cache.py --clean

# Force cleanup (attempts to close related processes, solves Windows file lock issues)
python scripts/cleanup_cache.py --force

# Or use uv command directly
uv cache clean

For detailed instructions, see: Cache Management Guide

Q: Gemini Pro 2.5 cannot parse images
A: Known issue. Gemini Pro 2.5 may not correctly parse uploaded image content. Testing shows Claude-4-Sonnet can properly analyze images. Recommend using Claude models for better image understanding capabilities.

Q: Multi-screen window positioning issues
A: Fixed in v2.1.1. Go to "⚙️ Settings" tab, check "Always show window at primary screen center" to resolve window positioning issues. Especially useful for T-shaped screen arrangements and other complex multi-monitor configurations.

🙏 Acknowledgments

🌟 Support Original Author

Fábio Ferreira - X @fabiomlferreira
Original Project: noopstudios/interactive-feedback-mcp

If you find this useful, please:

• ⭐ Star the original project
• 📱 Follow the original author

Design Inspiration

sanshao85 - mcp-feedback-collector