User Prompt MCP

Communauté IA et agents

An MCP server for Cursor that enables requesting user input during generation process.

Que pouvez-vous faire avec User Prompt MCP ?

  • 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

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. User Prompt MCP
  2. Overview
  3. Features
  4. Installation
  5. Usage with Cursor
  6. License
  7. Acknowledgements

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)

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: json { "mcpServers": { "prompt": { "command": "user-prompt-mcp" } } }
  3. Save and refresh
  4. 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

Questions fréquentes

Qu'est-ce que User Prompt MCP ?

An MCP server for Cursor that enables requesting user input during generation process.

Comment installer User Prompt MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

User Prompt MCP est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient User Prompt MCP ?

Il est publié par nazar256. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.