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 establishes feedback-oriented development workflows, providing Web UI and Desktop Application dual interface options, perfectly adapting to local, SSH Remote environments (Cursor SSH Remote, VS Code Remote SSH), and WSL (Windows Subsystem for Linux) environments. By guiding AI to confirm with users rather than making speculative operations, it can consolidate multiple tool calls into a single feedback-oriented request, dramatically reducing platform costs and improving development efficiency.

🌐 Dual Interface Architecture Advantages:

• 🖥️ Desktop Application: Native cross-platform desktop experience, supporting Windows, macOS, Linux
• 🌐 Web UI Interface: No GUI dependencies required, suitable for remote and WSL environments
• 🔧 Flexible Deployment: Choose the most suitable interface mode based on environment requirements
• 📦 Unified Functionality: Both interfaces provide exactly the same functional experience

🖥️ Desktop Application: v2.5.0 introduces cross-platform desktop application support based on Tauri framework, supporting Windows, macOS, and Linux platforms with native desktop experience.

Supported Platforms: Cursor | Cline | Windsurf | Augment | Trae

🔄 Workflow

1. AI Call → mcp-feedback-enhanced tool
2. Interface Launch → Auto-open desktop application or browser interface (based on configuration)
3. Smart Interaction → Prompt selection, text input, image upload, auto-submit
4. Real-time Feedback → WebSocket connection delivers information to AI instantly
5. Session Tracking → Auto-record session history and statistics
6. Process Continuation → AI adjusts behavior or ends task based on feedback

🌟 Key Features

🖥️ Dual Interface Support

• Desktop Application: Cross-platform native application based on Tauri, supporting Windows, macOS, Linux
• Web UI Interface: Lightweight browser interface suitable for remote and WSL environments
• Automatic Environment Detection: Intelligently recognizes SSH Remote, WSL and other special environments
• Unified Feature Experience: Both interfaces provide exactly the same functionality

📝 Smart Workflow

• Prompt Management: CRUD operations for common prompts, usage statistics, intelligent sorting
• Auto-Timed Submit: 1-86400 second flexible timer, supports pause, resume, cancel
• Session Management & Tracking: Local file storage, privacy controls, history export, real-time statistics
• Connection Monitoring: WebSocket status monitoring, auto-reconnection, quality indicators
• AI Work Summary Markdown Display: Support for rich Markdown syntax rendering including headers, bold text, code blocks, lists, links and other formats for enhanced content readability

🎨 Modern Experience

• Responsive Design: Adapts to different screen sizes, modular JavaScript architecture
• Audio Notifications: Built-in multiple sound effects, custom audio upload support, volume control
• Smart Memory: Input box height memory, one-click copy, persistent settings
• Multi-language Support: Traditional Chinese, English, Simplified Chinese, instant switching

🖼️ Images & Media

• Full Format Support: PNG, JPG, JPEG, GIF, BMP, WebP
• Convenient Upload: Drag & drop files, clipboard paste (Ctrl+V)
• Unlimited Processing: Support for any size images, automatic intelligent processing

🌐 Interface Preview

Web UI Interface (v2.5.0 - Desktop Application Support)

📱 Click to view complete interface screenshots

Web UI Interface - Supports desktop application and Web interface, providing prompt management, auto-submit, session tracking and other smart features

Desktop Application Interface (v2.5.0 New Feature)

Desktop Application - Native cross-platform desktop application based on Tauri framework, supporting Windows, macOS, Linux with exactly the same functionality as Web UI

Shortcut Support

• Ctrl+Enter（Windows/Linux）/ Cmd+Enter（macOS）：Submit feedback (both main keyboard and numeric keypad supported)
• Ctrl+V（Windows/Linux）/ Cmd+V（macOS）：Direct paste clipboard images
• Ctrl+I（Windows/Linux）/ Cmd+I（macOS）：Quick focus input box (Thanks @penn201500)

🚀 Quick Start

1. Installation & Testing

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

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

2. Configure MCP

Basic Configuration (suitable for most users):

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

Advanced Configuration (requires custom environment):

{
  "mcpServers": {
    "mcp-feedback-enhanced": {
      "command": "uvx",
      "args": ["mcp-feedback-enhanced@latest"],
      "timeout": 600,
      "env": {
        "MCP_DEBUG": "false",
        "MCP_WEB_PORT": "8765"
      },
      "autoApprove": ["interactive_feedback"]
    }
  }
}

Desktop Application Configuration (v2.5.0 new feature - using native desktop application):

{
  "mcpServers": {
    "mcp-feedback-enhanced": {
      "command": "uvx",
      "args": ["mcp-feedback-enhanced@latest"],
      "timeout": 600,
      "env": {
        "MCP_DESKTOP_MODE": "true",
        "MCP_WEB_PORT": "8765",
        "MCP_DEBUG": "false"
      },
      "autoApprove": ["interactive_feedback"]
    }
  }
}

Configuration File Examples:

• Desktop Mode: examples/mcp-config-desktop.json
• Web Mode: examples/mcp-config-web.json

3. Prompt Engineering Setup

For optimal results, add the following rules to your AI assistant:

# MCP Interactive Feedback Rules

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

⚙️ Advanced Settings

Environment Variables

Variable	Purpose	Values	Default
MCP_DEBUG	Debug mode	true/false	false
MCP_WEB_PORT	Web UI port	1024-65535	8765
MCP_DESKTOP_MODE	Desktop application mode	true/false	false

Testing Options

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

# Interface testing
uvx mcp-feedback-enhanced@latest test --web    # Test Web UI (auto continuous running)
uvx mcp-feedback-enhanced@latest test --desktop # Test desktop application (v2.5.0 new feature)

# 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

# Functional testing
make test-func                                           # Standard functional testing
make test-web                                            # Web UI testing (continuous running)
make test-desktop-func                                   # Desktop application functional testing

# Or use direct commands
uv run python -m mcp_feedback_enhanced test              # Standard functional testing
uvx --no-cache --with-editable . mcp-feedback-enhanced test --web   # Web UI testing (continuous running)
uvx --no-cache --with-editable . mcp-feedback-enhanced test --desktop # Desktop application testing

# Desktop application build (v2.5.0 new feature)
make build-desktop                                       # Build desktop application (debug mode)
make build-desktop-release                               # Build desktop application (release mode)
make test-desktop                                        # Test desktop application
make clean-desktop                                       # Clean desktop build artifacts

# Unit testing
make test                                                # Run all unit tests
make test-fast                                          # Fast testing (skip slow tests)
make test-cov                                           # Test and generate coverage report

# Code quality checks
make check                                              # Complete code quality check
make quick-check                                        # Quick check and auto-fix

Testing Descriptions

• Functional Testing: Test complete MCP tool functionality workflow
• Unit Testing: Test individual module functionality
• Coverage Testing: Generate HTML coverage report to htmlcov/ directory
• Quality Checks: Include linting, formatting, type checking

🆕 Version History

📋 Complete Version History: RELEASE_NOTES/CHANGELOG.md

Latest Version Highlights (v2.5.0)

• 🖥️ Desktop Application: Brand new cross-platform desktop application supporting Windows, macOS, Linux
• 📋 AI Work Summary Markdown Display: Support for Markdown syntax rendering including headers, bold text, code blocks, lists, links and other formats
• ⚡ Significant Performance Enhancement: Introduced debounce/throttle mechanisms to reduce unnecessary rendering and network requests
• 📊 Session History Storage Improvement: Migrated from localStorage to server-side local file storage
• 🌐 Network Connection Stability: Improved WebSocket reconnection mechanism with network status detection
• 🎨 UI Rendering Optimization: Optimized rendering performance for session management, statistics, and status indicators
• 🛠️ Build Process Optimization: Added Makefile desktop application build commands and development tools
• 📚 Documentation Enhancement: Added desktop application build guide and workflow documentation

🐛 Common Issues

🌐 SSH Remote Environment Issues

Q: Browser cannot launch in SSH Remote environment A: This is normal. SSH Remote environments have no graphical interface, requiring manual opening in local browser. For detailed solutions, refer to: SSH Remote Environment Usage Guide

Q: Why am I not receiving new MCP feedback? A: Likely a WebSocket connection issue. Solution: Directly refresh the browser page.

Q: Why isn't MCP being called? A: Please confirm MCP tool status shows green light. Solution: Repeatedly toggle MCP tool on/off, wait a few seconds for system reconnection.

Q: Augment cannot start MCP A: Solution: Completely close and restart VS Code or Cursor, reopen the project.

🔧 General Issues

Q: How to use desktop application? A: v2.5.0 introduces cross-platform desktop application support. Set "MCP_DESKTOP_MODE": "true" in MCP configuration to enable:

{
  "mcpServers": {
    "mcp-feedback-enhanced": {
      "command": "uvx",
      "args": ["mcp-feedback-enhanced@latest"],
      "timeout": 600,
      "env": {
        "MCP_DESKTOP_MODE": "true",
        "MCP_WEB_PORT": "8765"
      },
      "autoApprove": ["interactive_feedback"]
    }
  }
}

Configuration File Example: examples/mcp-config-desktop.json

Q: How to use legacy PyQt6 GUI interface? A: v2.4.0 completely removed PyQt6 GUI dependencies. To use legacy GUI, specify v2.3.0 or earlier: uvx [email protected] Note: Legacy versions don't include new features (prompt management, auto-submit, session management, desktop application, etc.).

Q: "Unexpected token 'D'" error appears 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: Window disappears or positioning errors in multi-screen environment A: Fixed in v2.1.1. Go to "⚙️ Settings" tab, check "Always show window at primary screen center" to resolve. Especially suitable for T-shaped screen arrangements and other complex multi-screen configurations.

Q: Image upload failure A: Check file format (PNG/JPG/JPEG/GIF/BMP/WebP). System supports any size image files.

Q: Web UI cannot start A: Check firewall settings or try using different ports.

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

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

# Preview cleanup content (no actual cleanup)
python scripts/cleanup_cache.py --dry-run

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

# Force cleanup (attempts to close related programs, solving Windows file occupation issues)
python scripts/cleanup_cache.py --force

# Or directly use uv command
uv cache clean

For detailed instructions, refer to: Cache Management Guide

Q: AI models cannot parse images A: Various AI models (including Gemini Pro 2.5, Claude, etc.) may have instability in image parsing, sometimes correctly recognizing and sometimes unable to parse uploaded image content. This is a known limitation of AI visual understanding technology. Recommendations:

1. Ensure good image quality (high contrast, clear text)
2. Try uploading multiple times, retries usually succeed
3. If parsing continues to fail, try adjusting image size or format

🙏 Acknowledgments

🌟 Support Original Author

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

If you find it useful, please:

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

Design Inspiration

sanshao85 - mcp-feedback-collector

Contributors

penn201500 - GitHub @penn201500

• 🎯 Auto-focus input box feature (PR #39)

Community Support

• Discord: https://discord.gg/Gur2V67
• Issues: GitHub Issues

📄 License

MIT License - See LICENSE file for details

📈 Star History

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