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User Prompt Mcp

@nazar256on a year ago
9 MIT
FreeCommunity
AI Systems
A Model Context Protocol (MCP) server for Cursor that enables requesting user input during generation

Overview

What is User Prompt Mcp

user-prompt-mcp is a Model Context Protocol (MCP) server designed for Cursor that facilitates the request for user input during the generation process, enhancing interactivity between AI and users.

Use cases

Use cases include AI-assisted coding, interactive chatbots that require user clarification, and scenarios where continuous user feedback is essential during the generation process.

How to use

To use user-prompt-mcp, install it from source using Go, configure it in Cursor’s settings by adding it as an MCP server, and ensure to set rules for the AI to request user input without finishing the response.

Key features

Key features include user input prompting, a simple GUI for input dialogs, cross-platform compatibility (Linux and macOS), and integration with Cursor via stdio.

Where to use

user-prompt-mcp can be used in various applications where interactive AI responses are required, particularly in software development, chatbots, and any AI-driven user interfaces.

Content

User Prompt MCP

A Model Context Protocol (MCP) server for Cursor that enables requesting user input during generation. This is mostly AI-generated code.

Overview

This project implements an MCP server that allows Cursor (or any MCP-compatible client) to request additional input from users during model generation without ending the generation process. It serves as a bridge between the AI model and the user, creating a more interactive experience.

Features

  • User Input Prompting: Allows the AI to ask for more information during generation
  • Simple GUI: Presents input prompts in a dialog box with text wrapping
  • Cross-Platform: Should work on both Linux (tested) and macOS
  • Stdio Transport: Integration with Cursor via stdio

Installation

Prerequisites

  • For GUI functionality:
    • Linux: zenity
    • macOS: osascript (built-in)

Quick Install (Recommended)

The easiest way to install user-prompt-mcp is using our installation script, which automatically downloads the appropriate binary for your system:

# Install the latest version
curl -sSL https://raw.githubusercontent.com/nazar256/user-prompt-mcp/main/install.sh | bash

# Or install a specific version
curl -sSL https://raw.githubusercontent.com/nazar256/user-prompt-mcp/main/install.sh | bash -s -- -v v1.0.0

The installation script will:

  • Detect your OS and architecture (Linux or macOS, amd64 or arm64)
  • Download the appropriate pre-compiled binary
  • Install it to a suitable directory in your PATH
  • Make it executable

Install from source

If you prefer to build from source (requires Go 1.18+):

go install github.com/nazar256/user-prompt-mcp/cmd/user-prompt-mcp@latest

Manual Installation

You can also download pre-compiled binaries directly from the Releases page.

Usage with Cursor

  1. Open Cursor and go to Settings
  2. Navigate to the MCP Servers section and add a new server by editing JSON:
{
  "mcpServers": {
    "prompt": {
      "command": "user-prompt-mcp"
    }
  }
}
  1. Save and refresh

  2. Add to global rules something like: “Important - do not finish responding until explicitly told to do so, instead always use MCP input_user_prompt and wait for response in all cases, either you feel stuck, you have question or you finished work on a prompt - always communicate with the user using this MCP.”

Configuration

The server can be configured using command-line flags or environment variables:

Timeout Configuration

By default, the server will wait 20 minutes for user input before timing out. You can customize this timeout using:

  • Command line flag: --timeout <seconds>
    user-prompt-mcp --timeout 600  # Set timeout to 10 minutes
    
  • Environment variable: USER_PROMPT_TIMEOUT=<seconds>
    export USER_PROMPT_TIMEOUT=1800  # Set timeout to 30 minutes
    user-prompt-mcp
    

Now when using Cursor, the AI can request additional input from you without ending its generation.

License

MIT

Acknowledgements

Tools

No tools

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