user-feedback-mcp

Overview

The user-feedback-mcp server provides a way to pause AI development workflows to gather human input before proceeding. It's particularly useful for testing complex desktop applications where user interaction is required. The server exposes a 'user_feedback' tool that can be called by AI assistants to display a web interface for human feedback, with configurable execution options.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• user_feedbackproject_directory: string, summary: string

  Prompts the user for feedback on the current task

  Try:Before completing the task, use the user_feedback MCP tool to ask the user for feedback.Try:Please provide feedback on the changes I've made.Try:Show the feedback UI so the user can confirm these modifications.

Comparable tools

Installation

{
  "mcpServers": {
    "github.com/mrexodia/user-feedback-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "<path_to_repo>",
        "run",
        "server.py"
      ],
      "timeout": 600,
      "autoApprove": [
        "user_feedback"
      ]
    }
  }
}

uv run fastmcp dev server.py

FAQ

What is the purpose of the .user-feedback.json file?

It contains configuration for the feedback server, including commands to execute and whether they should run automatically.

Which AI tools work with this server?

The server is designed to work with tools that support MCP protocol, specifically mentioned as Cline and Cursor.

Compare user-feedback-mcp with