Skip to main content

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, perfectly adapting to local, SSH remote development environments, 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

  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 and WSL environments, brand new architecture
  • Smart Switching: Auto-detect environment (local/remote/WSL) 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

✨ WSL Environment Support (v2.2.5 New Feature)

  • 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

🖥️ Interface Preview

Qt GUI Interface (Refactored Version)

Qt GUI Main Interface Qt GUI Settings Interface

Qt GUI Interface - Modular refactoring, supporting local environments

Web UI Interface (Refactored Version)

Web UI Main Interface Web UI Settings Interface

Web UI Interface - Brand new architecture, suitable for SSH Remote 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": {
        "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 (v2.2.5)

  • ✨ WSL Environment Support: Added comprehensive support for WSL (Windows Subsystem for Linux) environments
  • 🌐 Smart Browser Launching: Automatically invokes Windows browser in WSL environments with multiple launch methods
  • 🎯 Environment Detection Optimization: Improved remote environment detection logic, WSL no longer misidentified as remote environment
  • 🧪 Testing Experience Improvement: Test mode automatically attempts browser launching for better testing experience

🐛 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.

Q: Cannot launch browser in WSL environment A: v2.2.5 has added WSL environment support. If issues persist:

  1. Confirm WSL version (WSL 2 recommended)
  2. Check if Windows browser is properly installed
  3. Try manual test: run cmd.exe /c start https://www.google.com in WSL
  4. If wslu package is installed, you can also try the wslview command

Q: WSL environment misidentified as remote environment A: v2.2.5 has fixed this issue. WSL environments are now correctly identified and use Web UI with Windows browser launching, instead of being misidentified as remote environments.

🙏 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

Metadata

Release files for mcp-tingquan 0.0.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mcp-tingquan 0.0.6
File Size Uploaded Provenance
mcp_tingquan-0.0.6.tar.gz 1.9 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for mcp-tingquan 0.0.6
File Interpreter ABI Platform
mcp_tingquan-0.0.6-py3-none-any.whl Python 3 none any Details

Total release size: 2.0 MB

Release files / mcp_tingquan-0.0.6.tar.gz

Download URL mcp_tingquan-0.0.6.tar.gz
Size 1.9 MB
Tags Source
SHA-256 checksum
How to use checksums
210ee7a59fa4d5e18246e4cf142d5a5a36d24be5637b1d806ac1ccae5839c9bf
BLAKE2b-256 checksum
How to use checksums
274fe132163d41e839aa7561f0dd832b9bebb338986fa6b9b8bd4b4a79c098b7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.8

Release files / mcp_tingquan-0.0.6-py3-none-any.whl

Download URL mcp_tingquan-0.0.6-py3-none-any.whl
Size 185.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3b32602035ddee7a2b87c2330e6bb0fabb72b89d700fc8d40f11a91f47a22673
BLAKE2b-256 checksum
How to use checksums
935f6e9516da76b764465c7b3d91a21413fcbbe6d4f3cfdeeeacfc22c115adc7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.8

Security for mcp-tingquan 0.0.6

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.6 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page