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"Interaction or Feedback Enhancement to Increase Frequency/Attempts" matching MCP servers:

  • AI Interaction Tool

    KhaiHuynhVN
    F
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that provides an interactive PyQt5 UI for enhanced model communication, featuring multi-image management, file attachments, and customizable cognitive performance modes. It enables users to input complex content and manage workspace assets through a structured, tag-based output format.
    29

  • gl-mcp-feedback

    youjunxiaji
    F
    license
    A
    quality
    B
    maintenance
    A feedback-oriented MCP server with a Web UI for AI development workflows, enabling interactive confirmations and reducing speculative tool calls.
    2
    2

  • MCP Feedback Enhanced

    Littlecowherd
    F
    license
    A
    quality
    C
    maintenance
    Establishes feedback-oriented development workflows with Web UI and desktop app, enabling AI to confirm with users before actions and consolidate tool calls into feedback requests.
    2

  • mcp-feedback-enhanced

    Minidoracat
    F
    license
    A
    quality
    D
    maintenance
    Establishes feedback-oriented development workflows with Web UI and desktop application dual interfaces, enabling AI to confirm with users and consolidate tool calls into feedback requests to reduce costs and improve development efficiency.
    2
    3,780

  • mcp-feedback-enhanced

    Ming-321
    F
    license
    A
    quality
    D
    maintenance
    Establishes feedback-oriented development workflows with dual Web UI and Desktop interfaces, enabling AI to confirm with users before actions and consolidate multiple tool calls into a single feedback request.
    2
    2

  • mcp-feedback-collector

    sanshao85
    A
    license
    Not graded
    quality
    D
    maintenance
    A MCP server that enables AI assistants to collect interactive user feedback with text and image support via a modern GUI.
    236
    MIT

  • MCP Feedback Collector

    zhaobu
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to collect interactive user feedback through a modern GUI that supports text input, multiple image uploads (via file selection or clipboard paste), allowing users to provide comprehensive feedback with screenshots and comments.
    1
    MIT

  • Interactive Feedback MCP

    liaosiqian
    A
    license
    Not graded
    quality
    D
    maintenance
    Provides a Qt-based graphical interface for AI tools like Cursor to facilitate real-time human feedback and streamlined command execution. It features customizable shortcut responses, image processing, and a structured RIPER-5 workflow protocol to improve development accuracy and efficiency.
    1
    MIT

  • OpenAPI to MCP

    EvilFreelancer
    A
    license
    Not graded
    quality
    D
    maintenance
    A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.
    28
    16
    MIT

  • Swagger to MCP

    suhailtajshaik
    A
    license
    Not graded
    quality
    Not graded
    maintenance
    Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.

  • Interactive Feedback MCP

    nhatprx
    A
    license
    A
    quality
    C
    maintenance
    Enables AI assistants to request user feedback and confirmation to prevent speculative tool calls and reduce resource usage. It streamlines task completion by consolidating multiple potential steps into a single, feedback-aware process.
    1
    5
    MIT

  • Figma to React MCP

    surisagar900
    A
    license
    B
    quality
    C
    maintenance
    Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.
    5
    24
    MIT