interactive-feedback-macos-mcp

gmh5225/interactive-feedback-macos-mcp

3.3

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Interactive Feedback MCP for macOS is a native server designed to collect user feedback using AppleScript dialogs and image support.

Tools
  1. collect_feedback

    Native dialog for user feedback with optional image attachment.

  2. pick_image

    macOS file picker for image selection.

  3. get_image_info

    Get image metadata and base64 content.

  4. take_screenshot

    Capture area or full screen screenshots.

Interactive Feedback MCP for macOS

A native macOS MCP server for collecting interactive user feedback with AppleScript dialogs and image support.

image

image

✨ What's Different

This is a macOS-native reimplementation of the original interactive-feedback-mcp by Fábio Ferreira (@fabiomlferreira) with the following enhancements:

  • Native macOS Dialogs: Uses AppleScript instead of web UI
  • Image Support: Built-in image picker and screenshot capture
  • Lightweight: No web server dependencies (Express, CORS, etc.)
  • Better Integration: Seamless macOS user experience

🛠 Installation

  1. Clone and install:

    git clone https://github.com/gmh5225/interactive-feedback-macos-mcp.git
    cd interactive-feedback-macos-mcp
    npm install
    
  2. Add to your Cursor MCP configuration:

    {
      "mcpServers": {
        "interactive-feedback-macos-mcp": {
          "command": "node",
          "args": ["/path/to/interactive-feedback-macos-mcp/src/mcp-server-macos.js"],
          "autoApprove": ["collect_feedback", "pick_image", "get_image_info", "take_screenshot"]
        }
      }
    }
    

🔧 Available Tools

  • collect_feedback: Native dialog for user feedback with optional image attachment
  • pick_image: macOS file picker for image selection
  • get_image_info: Get image metadata and base64 content
  • take_screenshot: Capture area or full screen screenshots

📝 Usage

Add this to your AI assistant prompt for best results:

Whenever you want to ask a question, always call the MCP interactive-feedback-macos-mcp.collect_feedback. Whenever you're about to complete a user request, call the MCP interactive-feedback-macos-mcp.collect_feedback instead of simply ending the process.

License

MIT License

🙏 Credits

Based on interactive-feedback-mcp by Fábio Ferreira (@fabiomlferreira).