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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
- AI Call →
mcp-feedback-enhanced
- Environment Detection → Auto-select appropriate interface
- User Interaction → Command execution, text feedback, image upload
- Feedback Delivery → Information returns to AI
- 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 needed):
{
"mcpServers": {
"mcp-feedback-enhanced": {
"command": "uvx",
"args": ["mcp-feedback-enhanced@latest"],
"timeout": 600,
"env": {
"FORCE_WEB": "true",
"MCP_DEBUG": "false"
},
"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 |
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)
# 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:
Design Inspiration
sanshao85 - mcp-feedback-collector