Plugged.in Random Number Generator MCP server

The Plugged.in Random Number Generator MCP Server provides cryptographically secure random number generation capabilities through the Model Context Protocol (MCP). It offers various types of random data generation including integers, floats, bytes, UUIDs, strings, booleans, and random choices from lists, making it ideal for AI applications and systems requiring high-quality randomness.

Installation

Prerequisites

• Node.js 18.0.0 or higher
• npm or yarn package manager

Install via Desktop Extension (DXT)

For Claude Desktop users:

1. Open Claude Desktop
2. Go to Settings → Developer → MCP Servers
3. Click "Install from file" and select the downloaded .dxt file

Install from npm

Install globally:

npm install -g pluggedin-random-number-generator-mcp

Or install locally in your project:

npm install pluggedin-random-number-generator-mcp

Build from Source

git clone https://github.com/VeriTeknik/pluggedin-random-number-generator-mcp.git
cd pluggedin-random-number-generator-mcp
npm install
npm run build

Usage

Running the Server

The server communicates via stdio following the MCP protocol:

# Using the built version
node dist/index.js

# Using development mode
npm run dev

Integration with MCP Clients

For npm installation (recommended):

Add to your MCP client configuration. For Claude Desktop, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "random-generator": {
      "command": "npx",
      "args": ["-y", "pluggedin-random-number-generator-mcp@latest"]
    }
  }
}

For local installation:

{
  "mcpServers": {
    "random-generator": {
      "command": "node",
      "args": ["node_modules/pluggedin-random-number-generator-mcp/dist/index.js"]
    }
  }
}

Available Tools

Generate Random Integers

Parameters:

• min (integer, optional): Minimum value (inclusive), default: 0
• max (integer, optional): Maximum value (inclusive), default: 100
• count (integer, optional): Number of integers to generate, default: 1, max: 1000

Example:

{
  "name": "generate_random_integer",
  "arguments": {
    "min": 1,
    "max": 100,
    "count": 5
  }
}

Generate Random Floats

Parameters:

• min (number, optional): Minimum value (inclusive), default: 0.0
• max (number, optional): Maximum value (exclusive), default: 1.0
• count (integer, optional): Number of floats to generate, default: 1, max: 1000
• precision (integer, optional): Decimal places to round to, default: 6, max: 15

Example:

{
  "name": "generate_random_float", 
  "arguments": {
    "min": 0.0,
    "max": 1.0,
    "count": 3,
    "precision": 4
  }
}

Generate Random Bytes

Parameters:

• length (integer, optional): Number of bytes to generate, default: 32, max: 1024
• encoding (string, optional): Output encoding ("hex", "base64", "binary"), default: "hex"

Example:

{
  "name": "generate_random_bytes",
  "arguments": {
    "length": 32,
    "encoding": "hex"
  }
}

Generate UUIDs

Parameters:

• count (integer, optional): Number of UUIDs to generate, default: 1, max: 100
• format (string, optional): UUID format ("standard", "compact"), default: "standard"

Example:

{
  "name": "generate_uuid",
  "arguments": {
    "count": 3,
    "format": "standard"
  }
}

Generate Random Strings

Parameters:

• length (integer, optional): String length, default: 16, max: 256
• charset (string, optional): Character set ("alphanumeric", "alphabetic", "numeric", "hex", "base64", "ascii_printable"), default: "alphanumeric"
• count (integer, optional): Number of strings to generate, default: 1, max: 100

Example:

{
  "name": "generate_random_string",
  "arguments": {
    "length": 12,
    "charset": "alphanumeric",
    "count": 2
  }
}

Generate Random Choices

Parameters:

• choices (array, required): Array of string items to choose from
• count (integer, optional): Number of items to select, default: 1
• allow_duplicates (boolean, optional): Whether to allow duplicate selections, default: true

Example:

{
  "name": "generate_random_choice",
  "arguments": {
    "choices": ["apple", "banana", "cherry", "date"],
    "count": 2,
    "allow_duplicates": false
  }
}

Generate Random Booleans

Parameters:

• count (integer, optional): Number of booleans to generate, default: 1, max: 1000
• probability (number, optional): Probability of true (0.0 to 1.0), default: 0.5

Example:

{
  "name": "generate_random_boolean",
  "arguments": {
    "count": 10,
    "probability": 0.7
  }
}

AI Prompts

Available Prompt: generate_random

This prompt helps LLMs understand they should use this server for random number generation rather than attempting to generate random values themselves.

Parameters:

• type (string, optional): Type of random value needed (integer, float, uuid, string, bytes, choice, boolean)
• requirements (string, optional): Specific requirements for the random generation

When an LLM receives a request like "Generate a random password" or "Pick a random number", the prompt will:

1. Acknowledge that LLMs cannot generate truly random values
2. Explain the available cryptographically secure tools
3. Guide the AI to use the appropriate tool for the task

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "random-generator" '{"command":"npx","args":["-y","pluggedin-random-number-generator-mcp@latest"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "random-generator": {
            "command": "npx",
            "args": [
                "-y",
                "pluggedin-random-number-generator-mcp@latest"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "random-generator": {
            "command": "npx",
            "args": [
                "-y",
                "pluggedin-random-number-generator-mcp@latest"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect