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# MCP Feedback Enhanced
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**🌐 Language / 語言切換:** **English** | [繁體中文 ](README.zh-TW.md ) | [简体中文 ](README.zh-CN.md )
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**Original Author:** [Fábio Ferreira ](https://x.com/fabiomlferreira ) | [Original Project ](https://github.com/noopstudios/interactive-feedback-mcp ) ⭐
**Enhanced Fork:** [Minidoracat ](https://github.com/Minidoracat )
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**UI Design Reference:** [sanshao85/mcp-feedback-collector ](https://github.com/sanshao85/mcp-feedback-collector )
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## 🎯 Core Concept
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This is an [MCP server ](https://modelcontextprotocol.io/ ) that establishes **feedback-oriented development workflows** , 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.
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**Supported Platforms:** [Cursor ](https://www.cursor.com ) | [Cline ](https://cline.bot ) | [Windsurf ](https://windsurf.com ) | [Augment ](https://www.augmentcode.com ) | [Trae ](https://www.trae.ai )
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### 🔄 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
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## 🌟 Key Features
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### 🌐 Web UI Interface System
- **Web UI**: Modern interface for all environments, brand new architecture
- **Universal Compatibility**: Supports local, SSH Remote, and WSL environments
- **Auto Adaptation**: Intelligent environment detection and optimal configuration
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### 🎨 Modern Interface Design (v2.1.0)
- **Modular Architecture**: Web UI adopts modular design
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- **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
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### 🖼️ 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
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### 🌏 Multi-language
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- **Three Languages**: English, Traditional Chinese, Simplified Chinese
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- **Smart Detection**: Auto-select based on system language
- **Live Switching**: Change language directly within interface
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### ✨ WSL Environment Support (v2.2.5)
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- **Auto Detection**: Intelligently identifies WSL (Windows Subsystem for Linux) environments
- **Browser Integration**: Automatically launches Windows browser in WSL environments
- **Multiple Launch Methods**: Supports `cmd.exe` , `powershell.exe` , `wslview` and other browser launch methods
- **Seamless Experience**: WSL users can directly use Web UI without additional configuration
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### 🌐 SSH Remote Environment Support (v2.3.0 New Feature)
- **Smart Detection**: Automatically identifies SSH Remote environments (Cursor SSH Remote, VS Code Remote SSH, etc.)
- **Browser Launch Guidance**: Provides clear solutions when browser cannot launch automatically
- **Port Forwarding Support**: Complete port forwarding setup guidance and troubleshooting
- **MCP Integration Optimization**: Improved integration with MCP system for more stable connection experience
- **Detailed Documentation**: [SSH Remote Environment Usage Guide ](docs/en/ssh-remote/browser-launch-issues.md )
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- 🎯 **Auto-focus Input Box** : Automatically focus on feedback input box when window opens, improving user experience (Thanks @penn201500 )
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## 🌐 Interface Preview
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### Web UI Interface (Modern Version)
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< div align = "center" >
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< img src = "docs/en/images/web1.png" width = "400" alt = "Web UI Main Interface" / >
< img src = "docs/en/images/web2.png" width = "400" alt = "Web UI Settings Interface" / >
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< / div >
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*Web UI Interface - Modern architecture, suitable for all environments*
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**Keyboard Shortcuts**
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- `Ctrl+Enter` (Windows/Linux) / `Cmd+Enter` (macOS): Submit feedback (supports both main keyboard and numpad)
- `Ctrl+V` (Windows/Linux) / `Cmd+V` (macOS): Directly paste clipboard images
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## 🚀 Quick Start
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### 1. Installation & Testing
```bash
# Install uv (if not already installed)
pip install uv
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# Quick test
uvx mcp-feedback-enhanced@latest test
```
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### 2. MCP Configuration
**Basic Configuration** (suitable for most users):
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```json
{
"mcpServers": {
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"mcp-feedback-enhanced": {
"command": "uvx",
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"args": ["mcp-feedback-enhanced@latest "],
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"timeout": 600,
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"autoApprove": ["interactive_feedback"]
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}
}
}
```
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**Advanced Configuration** (custom environment needed):
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```json
{
"mcpServers": {
"mcp-feedback-enhanced": {
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"command": "uvx",
"args": ["mcp-feedback-enhanced@latest "],
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"timeout": 600,
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"env": {
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"MCP_DEBUG": "false",
"MCP_WEB_PORT": "8765"
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},
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"autoApprove": ["interactive_feedback"]
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}
}
}
```
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### 3. Prompt Engineering Setup
For best results, add these rules to your AI assistant:
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```
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# MCP Interactive Feedback Rules
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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.
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5. Before completing the task, use the MCP mcp-feedback-enhanced to ask the user for feedback.
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```
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## ⚙️ Advanced Settings
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### Environment Variables
| Variable | Purpose | Values | Default |
|----------|---------|--------|---------|
| `MCP_DEBUG` | Debug mode | `true` /`false` | `false` |
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| `MCP_WEB_PORT` | Web UI port | `1024-65535` | `8765` |
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### Testing Options
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```bash
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# Version check
uvx mcp-feedback-enhanced@latest version # Check version
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# Interface testing
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uvx mcp-feedback-enhanced@latest test --web # Test Web UI (auto continuous running)
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uvx mcp-feedback-enhanced@latest test --enhanced # Enhanced test suite
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# Debug mode
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MCP_DEBUG=true uvx mcp-feedback-enhanced@latest test
```
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### Developer Installation
```bash
git clone https://github.com/Minidoracat/mcp-feedback-enhanced.git
cd mcp-feedback-enhanced
uv sync
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```
**Local Testing Methods**
```bash
# Method 1: Standard test (recommended)
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uv run python -m mcp_feedback_enhanced test
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# Method 2: Complete test suite (macOS and Windows dev environment)
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uvx --with-editable . mcp-feedback-enhanced test
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# Method 3: Interface testing
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uvx --with-editable . mcp-feedback-enhanced test --web # Test Web UI (auto continuous running)
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uvx --with-editable . mcp-feedback-enhanced test --enhanced # Enhanced test suite
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```
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**Testing Descriptions**
- **Standard Test**: Complete functionality check, suitable for daily development verification
- **Complete Test**: Deep testing of all components, suitable for pre-release verification
- **Web UI Test**: Start Web server and keep running for complete Web functionality testing
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- **Enhanced Test**: Comprehensive test suite with advanced scenarios
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## 🆕 Version History
📋 **Complete Version History:** [RELEASE_NOTES/CHANGELOG.en.md ](RELEASE_NOTES/CHANGELOG.en.md )
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### Latest Version Highlights (v2.3.0)
- 🌐 **SSH Remote Environment Support** : Solved Cursor SSH Remote browser launch issues with clear usage guidance
- 🛡️ **Error Message Improvements** : Provides more user-friendly error messages and solution suggestions when errors occur
- 🧹 **Auto-cleanup Features** : Automatically cleans temporary files and expired sessions to keep the system tidy
- 📊 **Memory Monitoring** : Monitors memory usage to prevent system resource shortage
- 🔧 **Connection Stability** : Improved Web UI connection stability and error handling
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## 🐛 Common Issues
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### 🌐 SSH Remote Environment Issues
**Q: Browser cannot launch in SSH Remote environment**
A: This is normal behavior. SSH Remote environments have no graphical interface, requiring manual opening in local browser. For detailed solutions, see: [SSH Remote Environment Usage Guide ](docs/en/ssh-remote/browser-launch-issues.md )
**Q: Why am I not receiving new MCP feedback?**
A: There might be a WebSocket connection issue. **Solution** : Simply refresh the browser page.
**Q: Why isn't MCP being called?**
A: Please confirm the MCP tool status shows green light. **Solution** : Toggle the MCP tool on/off repeatedly, wait a few seconds for system reconnection.
**Q: Augment cannot start MCP**
A: **Solution** : Completely close and restart VS Code or Cursor, then reopen the project.
### 🔧 General Issues
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**Q: Getting "Unexpected token 'D'" error**
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A: Debug output interference. Set `MCP_DEBUG=false` or remove the environment variable.
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**Q: Chinese character garbled text**
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A: Fixed in v2.0.3. Update to latest version: `uvx mcp-feedback-enhanced@latest`
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**Q: Multi-screen window disappearing or positioning errors**
A: Fixed in v2.1.1. Go to "⚙️ Settings" tab, check "Always show window at primary screen center" to resolve. Especially useful for T-shaped screen arrangements and other complex multi-monitor configurations.
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**Q: Image upload fails**
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A: Check file size (≤1MB) and format (PNG/JPG/GIF/BMP/WebP).
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**Q: Web UI won't start**
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A: Check firewall settings or try using a different port.
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**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:
```bash
# 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 ](docs/en/cache-management.md )
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**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 identifying 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
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## 🙏 Acknowledgments
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### 🌟 Support Original Author
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**Fábio Ferreira** - [X @fabiomlferreira ](https://x.com/fabiomlferreira )
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**Original Project:** [noopstudios/interactive-feedback-mcp ](https://github.com/noopstudios/interactive-feedback-mcp )
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If you find this useful, please:
- ⭐ [Star the original project ](https://github.com/noopstudios/interactive-feedback-mcp )
- 📱 [Follow the original author ](https://x.com/fabiomlferreira )
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### Design Inspiration
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**sanshao85** - [mcp-feedback-collector ](https://github.com/sanshao85/mcp-feedback-collector )
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### Contributors
**penn201500** - [GitHub @penn201500 ](https://github.com/penn201500 )
- 🎯 Auto-focus input box feature ([PR #39 ](https://github.com/Minidoracat/mcp-feedback-enhanced/pull/39 ))
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### Community Support
- **Discord:** [https://discord.gg/Gur2V67 ](https://discord.gg/Gur2V67 )
- **Issues:** [GitHub Issues ](https://github.com/Minidoracat/mcp-feedback-enhanced/issues )
## 📄 License
MIT License - see [LICENSE ](LICENSE ) file for details
---
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