This is an MCP server 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.

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

🔄 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

🌐 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

🎨 Modern Interface Design (v2.1.0)

Modular Architecture: Web UI adopts 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

✨ WSL Environment Support (v2.2.5)

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

🌐 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
🎯 Auto-focus Input Box: Automatically focus on feedback input box when window opens, improving user experience (Thanks @penn201500)

🌐 Interface Preview

Web UI Interface (Modern Version)

Web UI Interface - Modern architecture, suitable for all environments

Keyboard Shortcuts

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

🚀 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": {
        "MCP_DEBUG": "false",
        "MCP_WEB_PORT": "8765"
      },
      "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
`MCP_DEBUG`	Debug mode	`true`/`false`	`false`
`MCP_WEB_PORT`	Web UI port	`1024-65535`	`8765`

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 --enhanced # Enhanced test suite

# 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 testing
uvx --with-editable . mcp-feedback-enhanced test --web    # Test Web UI (auto continuous running)
uvx --with-editable . mcp-feedback-enhanced test --enhanced # Enhanced test suite

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
Enhanced Test: Comprehensive test suite with advanced scenarios

🆕 Version History

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

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

🐛 Common Issues

🌐 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

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

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: 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.

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

Q: Web UI won't start A: Check firewall settings or try using a different port.

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: 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:

Ensure good image quality (high contrast, clear text)
Try uploading multiple times, retries usually succeed
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 this 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

🌟 Welcome to Star and share with more developers!

Description

Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.

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