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2025-03-26

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Random Number MCP Server

This project implements a simple Model Context Protocol (MCP) server that provides a tool to generate random numbers using the random.org API.

Overview

This server demonstrates the basic concepts of MCP, including:

  • Setting up an MCP server.
  • Defining and implementing tools.
  • Integrating with an external API.
  • Configuring the server for use with MCP clients.

Prerequisites

  • Node.js and npm installed.
  • An MCP client such as the Claude desktop app.

Project Setup

  1. Clone the repository:
    git clone [repository_url]
    cd [project_directory]
    
  2. Install dependencies:
    npm install
    

API

The server uses the random.org API to generate true random numbers. No API key is required for basic usage.

MCP Server Implementation

The server is implemented in index.ts and uses the @modelcontextprotocol/sdk to handle MCP communication.

Tool: get_random_number

This tool retrieves a random integer from the random.org API.

Input Parameters:

  • max (optional): An integer specifying the maximum value (inclusive) of the random number. Defaults to 100.

Output:

  • A string containing the random number.

Server Configuration

The server is configured through the cline_mcp_settings.json file. You need to add an entry for this server, specifying the command to run it:

{
  "mcpServers": {
    "random-number": {
      "command": "node",
      "args": ["[path/to/index.js]"],
      "env": {}
    }
  }
}

Replace [path/to/index.js] with the actual path to the compiled index.js file (usually in a build or dist directory after running npm run build).

Running the Server

  1. Build the server
    npm run build
    
  2. Start the server (this is typically done automatically by the MCP client after configuration).

Usage

Once the server is running and configured, you can use the get_random_number tool through your MCP client.

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    Reviews

    4 (1)
    Avatar
    user_MVhYg62K
    2025-04-17

    The random-number-mcp-server by ysd-rysn is a remarkable tool that adds efficiency and reliability to my projects. Its seamless integration and easy setup make it a standout in the field. I've had no issues with performance, and the random number generation is both fast and accurate. Highly recommend checking it out on GitHub: https://github.com/ysd-rysn/random-number-mcp-server. It's a must-have for anyone needing random number generation in their applications.