Random Generation▌

by turlockmike
Random Generation offers diverse tools like random number generator, rng generator, random counter, and more for all you
Provides diverse random generation utilities including UUIDs, numbers, strings, passwords, and more.
best for
- / Developers needing test data and identifiers
- / Creating secure passwords and tokens
- / Gaming applications requiring dice rolls
- / Mock data generation for testing
capabilities
- / Generate UUID v4 identifiers
- / Generate random numbers with custom ranges
- / Create secure passwords with mixed character types
- / Generate random strings with configurable character sets
- / Roll dice using standard notation (2d6, 1d20, etc.)
- / Draw cards from a standard playing deck
what it does
Generates random data including UUIDs, numbers, passwords, strings, and simulates dice rolls and card draws. All generation happens locally without external API calls.
about
Random Generation is a community-built MCP server published by turlockmike that provides AI assistants with tools and capabilities via the Model Context Protocol. Random Generation offers diverse tools like random number generator, rng generator, random counter, and more for all you It is categorized under developer tools. This server exposes 7 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Random Generation in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Random Generation is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP Rand
A Model Context Protocol (MCP) server providing various random generation utilities, including UUID, numbers, strings, passwords, Gaussian distribution, dice rolling, and card drawing.
<a href="https://glama.ai/mcp/servers/ccd6b0hni8"><img width="380" height="200" src="https://glama.ai/mcp/servers/ccd6b0hni8/badge" alt="Rand MCP server" /></a>
Installation
npm install mcp-rand
Or install globally:
npm install -g mcp-rand
Features
UUID Generator
- Generates RFC 4122 version 4 UUIDs
- Uses Node's native crypto module for secure random generation
- No parameters required
Random Number Generator
- Generates random numbers within a specified range
- Configurable minimum and maximum values (inclusive)
- Defaults to range 0-100 if no parameters provided
Gaussian Random Generator
- Generates random numbers following a Gaussian (normal) distribution
- Normalized to range 0-1
- No parameters required
Random String Generator
- Generates random strings with configurable length and character sets
- Supports multiple character sets:
- alphanumeric (default): A-Z, a-z, 0-9
- numeric: 0-9
- lowercase: a-z
- uppercase: A-Z
- special: !@#$%^&*()_+-=[]{};'"|,.<>/?
- Configurable string length (defaults to 10)
Password Generator
- Generates strong passwords with a mix of character types
- Ensures at least one character from each type (uppercase, lowercase, numbers, special)
- Configurable length (minimum 8, default 16)
- WARNING: While passwords are generated locally, it's recommended to use a dedicated password manager
Dice Roller
- Roll multiple dice using standard dice notation
- Supports notation like "2d6" (two six-sided dice), "1d20" (one twenty-sided die)
- Returns individual rolls and total for each set of dice
- Can roll multiple different dice sets at once (e.g., "2d6", "1d20", "4d4")
Card Drawer
- Draw cards from a standard 52-card deck
- Maintains deck state between draws using base64 encoding
- Returns drawn cards and remaining deck state
- Supports drawing any number of cards up to the deck size
- Properly shuffles available cards before each draw
Usage
As a CLI Tool
npx mcp-rand
Integration with MCP Clients
Add to your MCP client configuration:
{
"mcpServers": {
"mcp-rand": {
"command": "node",
"args": ["path/to/mcp-rand/build/index.js"],
"disabled": false,
"alwaysAllow": []
}
}
}
Example Usage
// Generate UUID
const uuid = await client.callTool('generate_uuid', {});
console.log(uuid); // e.g., "550e8400-e29b-41d4-a716-446655440000"
// Generate random number
const number = await client.callTool('generate_random_number', {
min: 1,
max: 100
});
console.log(number); // e.g., 42
// Generate Gaussian random number
const gaussian = await client.callTool('generate_gaussian', {});
console.log(gaussian); // e.g., 0.6827
// Generate random string
const string = await client.callTool('generate_string', {
length: 15,
charset: 'alphanumeric'
});
console.log(string); // e.g., "aB9cD8eF7gH6iJ5"
// Generate password
const password = await client.callTool('generate_password', {
length: 20
});
console.log(password); // e.g., "aB9#cD8$eF7@gH6*iJ5"
// Roll dice
const rolls = await client.callTool('roll_dice', {
dice: ['2d6', '1d20', '4d4']
});
console.log(rolls);
/* Output example:
[
{
"dice": "2d6",
"rolls": [3, 1],
"total": 4
},
{
"dice": "1d20",
"rolls": [4],
"total": 4
},
{
"dice": "4d4",
"rolls": [2, 3, 2, 3],
"total": 10
}
]
*/
// Draw cards
const draw1 = await client.callTool('draw_cards', {
count: 5
});
console.log(draw1);
/* Output example:
{
"drawnCards": [
{ "suit": "hearts", "value": "A" },
{ "suit": "diamonds", "value": "7" },
{ "suit": "clubs", "value": "K" },
{ "suit": "spades", "value": "2" },
{ "suit": "hearts", "value": "10" }
],
"remainingCount": 47,
"deckState": "t//+///bDw=="
}
*/
// Draw more cards using previous deck state
const draw2 = await client.callTool('draw_cards', {
count: 3,
deckState: draw1.deckState
});
console.log(draw2);
/* Output example:
{
"drawnCards": [
{ "suit": "diamonds", "value": "Q" },
{ "suit": "clubs", "value": "5" },
{ "suit": "spades", "value": "J" }
],
"remainingCount": 44,
"deckState": "l//+//zbDw=="
}
*/
Contributing
Please see CONTRIBUTING.md for development setup and guidelines.
License
ISC
FAQ
- What is the Random Generation MCP server?
- Random Generation is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Random Generation?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Random Generation is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Random Generation against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Random Generation is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Random Generation reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Random Generation for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Random Generation surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Random Generation has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Random Generation benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Random Generation into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Random Generation is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.