jeffkit/mcp-user-feedback-server

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MCP User Feedback Server

A Model Context Protocol (MCP) server that provides a tool for requesting user feedback through system dialog boxes.

Features

• Cross-platform dialog support (macOS, Linux, Windows)
• Single tool: request_user_feedback
• Native system dialog integration
• Supports custom titles and default text
• Easy integration with MCP clients like Cursor, Claude Desktop, etc.

Quick Start

Using with MCP Clients

This server is designed to be used with MCP clients. The easiest way is to install it directly from npm:

npx mcp-user-feedback-server@latest

Installation for Development

npm install
npm run build

MCP Client Configuration

Cursor IDE

Add this to your Cursor settings in the MCP servers configuration:

{
  "mcpServers": {
    "user-feedback": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-user-feedback-server@latest"
      ]
    }
  }
}

Claude Desktop

Add this to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "user-feedback": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-user-feedback-server@latest"
      ]
    }
  }
}

Other MCP Clients

For any MCP client that supports the Model Context Protocol, you can use:

• Command: npx
• Args: ["-y", "mcp-user-feedback-server@latest"]

Local Development Setup

If you're developing locally, you can also run the server directly:

{
  "mcpServers": {
    "user-feedback": {
      "command": "node",
      "args": ["/path/to/mcp-user-feedback-server/dist/index.js"]
    }
  }
}

Tool: request_user_feedback

Shows a dialog box to request feedback from the user.

Parameters

• question (required): The question or prompt to show to the user
• title (optional): Title for the dialog box
• defaultAnswer (optional): Default text to pre-fill in the input field

Example Usage in MCP Clients

Once configured in your MCP client, you can use the tool in conversations:

Example 1: Simple question

User: Ask me what my favorite programming language is
AI: I'll ask you about your favorite programming language.
[AI uses request_user_feedback tool with question: "What is your favorite programming language?"]
[Dialog box appears on your screen]
[You type "TypeScript" and click OK]
AI: Thanks! You mentioned that TypeScript is your favorite programming language.

Example 2: With custom title and default

User: Get my preferred email for notifications
AI: Let me ask for your preferred notification email.
[AI uses request_user_feedback tool with:
  question: "Please enter your preferred email for notifications:"
  title: "Email Settings"
  defaultAnswer: "user@example.com"]
[Dialog box appears with the title "Email Settings"]
[You modify the default email and submit]
AI: I've noted your preferred email for notifications.

Tool Parameters

{
  "question": "What is your favorite color?",
  "title": "User Preference",
  "defaultAnswer": "Blue"
}

Platform-specific Implementation

• macOS: Uses AppleScript with osascript
• Linux: Uses zenity or kdialog (requires GUI environment)
• Windows: Uses VBScript with cscript

System Requirements

macOS

• No additional dependencies required

Linux

• Requires zenity (GNOME/GTK) or kdialog (KDE)
• Install zenity: sudo apt-get install zenity (Ubuntu/Debian)

Windows

• No additional dependencies required (uses built-in VBScript)

Error Handling

The tool handles various error scenarios:

• User cancellation
• Missing GUI environment
• Platform-specific dialog failures

Development

The project structure:

src/
├── index.ts      # Main MCP server
├── dialog.ts     # Cross-platform dialog manager

License

MIT