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MCP Feedback Enhanced

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Alternatives to MCP Feedback Enhanced

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    • A
      license
      Not graded
      quality
      C
      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
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      quality
      D
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      Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.
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      Interactive feedback server for AI-assisted development with Web UI and desktop app support, enabling user feedback collection after AI tasks.
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    • A
      license
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      quality
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      maintenance
      Enables interactive feedback sessions in Cursor with support for multiple chat tabs, clipboard (copy/paste images), and robust connection management across multiple windows.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables real-time user intervention for MCP agents via a Web UI and interactive_feedback tool, allowing users to review context and send instructions when agents drift from intent.
      MIT

    TDQS

    B3.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: get_system_info retrieves system environment information, while shouji provides an interactive web interface for collecting user input and attachments. There is no overlap in functionality, making it easy for an agent to choose the correct tool for each task.

    Naming Consistency2/5

    The naming is inconsistent: get_system_info follows a clear verb_noun pattern, but shouji uses a non-English term (Chinese for 'collect') without a descriptive verb, breaking the pattern. This mix of conventions could confuse agents expecting a uniform naming style.

    Tool Count3/5

    With only 2 tools, the server feels thin for a general-purpose feedback system, as it lacks tools for processing, analyzing, or managing feedback beyond collection. However, the count is borderline appropriate if the scope is limited to basic input gathering and system info retrieval.

    Completeness2/5

    For a feedback-enhanced server, there are significant gaps: it provides input collection and system info but lacks tools for storing, retrieving, analyzing, or responding to feedback. This incomplete surface will likely cause agent failures when trying to handle feedback workflows beyond simple input capture.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues