MCP

🚀 Enhanced Interactive Feedback MCP Server

This project is an enhanced MCP server that offers interactive feedback mechanisms, project - level configuration management, and supports multiple AI tools, with a series of new features added.

🚀 Quick Start

The Enhanced Interactive Feedback MCP Server provides a range of powerful features for effective feedback management and collaboration. You can start using it by following the installation and configuration steps below.

✨ Features

Existing Features Enhancement

• ✅ Interactive feedback mechanism (supports various types such as questions, confirmations, and selections)
• ✅ Project - level configuration management
• ✅ Cross - platform support (Windows, macOS, Linux)
• ✅ Compatibility with multiple AI tools (Cursor, Cline, Windsurf, etc.)

🆕 New Features

1. Intelligent Analysis Engine

• 📊 Feedback mode analysis and visualization
• 🤖 Intelligent suggestions based on historical data
• 📈 Performance monitoring and response time analysis
• 🎯 Personalized feedback optimization

2. Multilingual Support

• 🌐 Supports multiple languages such as Chinese and English
• 🔄 Automatic language detection
• 📝 Localized feedback templates

3. Team Collaboration

• 👥 Multi - user support
• 🔐 Role - based access control
• 📝 Sharing of team feedback history
• 💬 Collaborative code review

4. Feedback Template System

• 📋 Built - in common templates
• ✏️ Custom template creation
• 🔧 Support for template parameterization
• 📚 Template library management

5. Enhanced Feedback Types

• ❓ Question inquiries
• ✅ Operation confirmations
• 📋 Option selections
• 🔍 Code reviews
• 💡 Suggestion providing
• ⚠️ Error reports

6. Notifications and Reminders

• 🔔 Multi - channel notifications (console, file, Webhook)
• ⏰ Priority management
• 🎵 Sound reminders
• 📱 Mobile push notifications (planned)

7. Plugin System

• 🔌 Slack integration
• 💬 Discord integration
• 📧 Email notifications
• 🎫 Jira integration

📦 Installation

Quick Installation

# Download the installation script
curl -LsSf https://github.com/your-repo/enhanced-feedback-mcp/install.sh | sh

# Or manual installation
git clone https://github.com/your-repo/enhanced-feedback-mcp.git
cd enhanced-feedback-mcp
chmod +x install.sh
./install.sh

Manual Installation

# 1. Clone the project
git clone https://github.com/your-repo/enhanced-feedback-mcp.git
cd enhanced-feedback-mcp

# 2. Install dependencies
uv sync

# 3. Run the server
uv run server.py

📚 Documentation

Configuration Examples

MCP Configuration Example (Cursor)

{
  "mcpServers": {
    "enhanced-interactive-feedback-mcp": {
      "command": "uv",
      "args": [
        "--directory", "/path/to/enhanced-feedback-mcp",
        "run", "server.py"
      ],
      "timeout": 600,
      "autoApprove": [
        "interactive_feedback",
        "get_feedback_analytics",
        "create_feedback_template",
        "execute_with_feedback"
      ]
    }
  }
}

Custom Prompts

Before completing any task, be sure to call the interactive_feedback MCP tool to get user feedback.
Interact in Chinese and select the appropriate feedback_type according to the task type.
If the feedback is empty, you can end the request, but do not call it in a loop.

💻 Usage Examples

Basic Feedback

# AI assistant call example
interactive_feedback(
    project_directory="/path/to/project",
    message="I have implemented the user login function. Please confirm if it meets the requirements?",
    feedback_type="confirmation",
    language="zh",
    priority="medium"
)

Code Review

interactive_feedback(
    project_directory="/path/to/project", 
    message="Please review this newly added user authentication module",
    feedback_type="code_review",
    language="zh",
    tags=["authentication", "security"],
    priority="high"
)

Error Handling

execute_with_feedback(
    command="npm test",
    project_directory="/path/to/project",
    require_confirmation=True,
    language="zh"
)

Get Analytics Report

get_feedback_analytics(
    project_directory="/path/to/project",
    days=30
)

📊 Analytics Dashboard

The enhanced version provides detailed analytics functions:

• 📈 Feedback frequency trends
• ⏱️ Average response time
• 🏷️ Analysis of commonly used tags
• 🎯 Accuracy of intelligent suggestions
• 👥 Team collaboration statistics

🔧 Technical Details

Custom Templates

# templates/custom_template.yaml
type: "custom"
content:
  en: "Custom template: {message}"
  zh: "自定义模板：{message}"

Plugin Development

# plugins/custom_plugin.py
class CustomPlugin:
    def on_feedback_received(self, feedback):
        # Custom processing logic
        pass

Webhook Integration

# Configure Webhook notifications
notifications:
  webhook:
    url: "https://your-webhook.com/feedback"
    headers:
      Authorization: "Bearer your-token"

🤝 Contributing

We welcome code contributions and suggestions!

1. Fork the project
2. Create a feature branch
3. Commit your changes
4. Create a Pull Request

📄 License

This project is under the MIT License. See the LICENSE file for details.

🙏 Acknowledgments

This project is based on the original project interactive-feedback-mcp developed by @fabiomlferreira. The enhanced features are developed with the assistance of AI.