MCP Feedback Enhanced

Enhanced MCP server for interactive user feedback and command execution in AI-assisted development. Features dual interface support with Web UI and Desktop Application, enabling human-in-the-loop workflows.

Minidoracat
Python
MIT

About MCP Feedback Enhanced

Key Features

  • Dual interface support (Web UI and Desktop Application)
  • Human-in-the-loop workflow integration
  • Cross-platform desktop application support
  • Real-time feedback collection and processing
  • Session management and tracking
  • Multi-language support (English, Chinese Traditional/Simplified)
  • Image upload and processing capabilities
  • Auto-submit functionality with timers

Why Do We Need This MCP

AI-assisted development often requires human oversight and feedback to ensure quality and accuracy. Without proper feedback mechanisms, AI might make assumptions or generate suboptimal solutions. MCP Feedback Enhanced creates a structured feedback loop between AI and users, enabling iterative improvement, validation of AI suggestions, and collaborative problem-solving that combines AI efficiency with human judgment.

Use Cases

  • Code review and validation workflows
  • Iterative development with AI assistance
  • Quality assurance and testing
  • Design feedback and refinement
  • Documentation review processes
  • Training and educational scenarios
  • User acceptance testing automation

Use Case Example

A developer is using AI to refactor a complex codebase. Instead of the AI making changes blindly, MCP Feedback Enhanced presents each proposed refactoring step to the developer for review. The developer can approve, modify, or reject suggestions through an intuitive interface, while the AI learns from the feedback to make better suggestions. This collaborative approach ensures high code quality while maintaining development velocity.

Useful Links

Quick Info

Author Minidoracat
Language
Python
License MIT

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