User Prompt MCP

User Prompt MCP

A Model Context Protocol (MCP) server for Cursor that enables requesting user input during generation

nazar256

Developer Tools
Visit Server

README

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
MCP Package Docs Server

MCP Package Docs Server

Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.

Featured
Local
TypeScript
Claude Code MCP

Claude Code MCP

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

Featured
Local
JavaScript
@kazuph/mcp-taskmanager

@kazuph/mcp-taskmanager

Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.

Featured
Local
JavaScript
Linear MCP Server

Linear MCP Server

Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.

Featured
JavaScript
mermaid-mcp-server

mermaid-mcp-server

A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.

Featured
JavaScript
Jira-Context-MCP

Jira-Context-MCP

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Featured
TypeScript
Linear MCP Server

Linear MCP Server

A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Featured
JavaScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Featured
Python