Interactive Feedback MCP for macOS

@gmh5225

About Interactive Feedback MCP for macOS

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

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Interactive Feedback MCP for macOS?

A native macOS MCP server that uses AppleScript dialogs to collect interactive user feedback with optional image attachments. It provides tools for image picking, screenshot capture, and feedback gathering—all without a web server.

How to use Interactive Feedback MCP for macOS?

Clone the repository, run npm install, then add the server to your Cursor MCP configuration using the node command pointing to the mcp-server-macos.js file. In AI prompts, instruct the assistant to call collect_feedback to ask questions or end tasks.

Key features of Interactive Feedback MCP for macOS

Native macOS dialog windows via AppleScript
Built-in image picker and screenshot capture
No web server dependencies (Express, CORS, etc.)
Seamless integration with macOS user experience
Four tools: collect_feedback, pick_image, get_image_info, take_screenshot

Use cases of Interactive Feedback MCP for macOS

AI assistants asking users for confirmation or additional input using native dialogs
Collecting feedback with an attached image (e.g., screenshot or file)
Letting users pick an image file from the macOS file picker
Capturing area or full-screen screenshots from within an MCP context
Retrieving image metadata and base64 content for processing

FAQ from Interactive Feedback MCP for macOS

How is this different from the original interactive-feedback-mcp?

This version uses AppleScript dialogs instead of a web UI, adds built-in image picker and screenshot capture, and is more lightweight by removing web server dependencies.

What are the runtime requirements?

Node.js is required. The server relies on AppleScript, so it only works on macOS.

Where does feedback or image data live?

The README does not specify persistence; data is returned to the MCP client during the session.

How is the server transported and authenticated?

The server runs as a child process via the node command (stdio transport). No authentication is mentioned.

Which tools are available?

collect_feedback, pick_image, get_image_info, and take_screenshot. These can be auto-approved in the Cursor MCP configuration.

Frequently asked questions

How is this different from the original interactive-feedback-mcp?

This version uses AppleScript dialogs instead of a web UI, adds built-in image picker and screenshot capture, and is more lightweight by removing web server dependencies.

What are the runtime requirements?

Node.js is required. The server relies on AppleScript, so it only works on macOS.

Where does feedback or image data live?

The README does not specify persistence; data is returned to the MCP client during the session.

How is the server transported and authenticated?

The server runs as a child process via the `node` command (stdio transport). No authentication is mentioned.

Which tools are available?

`collect_feedback`, `pick_image`, `get_image_info`, and `take_screenshot`. These can be auto-approved in the Cursor MCP configuration.

Comments

Basic information

More Other MCP servers

Production-ready MCP integrations for AI applications

Klavis-AI

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

5.8K

Unity MCP ✨

justinpbarnett

Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

12.2K