Generate cryptographically secure random numbers with Random.org's RNG generator—perfect for key generation, sampling, a
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Notion
MCP server for Notion — enables Claude to interact with Notion data and workflows.
Chrome DevTools MCP
AI-driven control of live Chrome via Chrome DevTools: browser automation, debugging, performance analysis and network mo
eRegulations
eRegulations makes admin procedure data easy to access, helping users understand the Administrative Procedure Act seamle
Linear
MCP server for Linear — enables Claude to interact with Linear data and workflows.
Zread
Zread MCP Server: Z.AI-powered MCP for Claude Code, Cline and MCP clients — access docs, code & open-source repo knowled
Random.org is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Random.org for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Random.org reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: Random.org surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: Random.org is the kind of server we cite when onboarding engineers to host + tool permissions.
Random.org has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Random.org benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Random.org has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Random.org benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Random.org has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"random-org": {
"command": "npx",
"args": [
"random-org-mcp-server"
],
"env": {
"RANDOM_ORG_API_KEY": "your_api_key_here"
}
}
}
}Generates cryptographically secure random data using Random.org's atmospheric noise API. Provides true randomness for security applications, statistical sampling, and cryptographic operations.
Random.org is a community-built MCP server published by qianjue-cn that provides AI assistants with tools and capabilities via the Model Context Protocol. Generate cryptographically secure random numbers with Random.org's RNG generator—perfect for key generation, sampling, a It is categorized under developer tools.
You can install Random.org 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.
A Model Context Protocol (MCP) server that provides access to the api.random.org service for generating true random numbers, strings, UUIDs, and more.
This MCP server provides the following tools:
# Install globally
npm install -g random-org-mcp-server
# Verify installation
random-org-mcp --version
# Run directly with npx (no installation required)
npx random-org-mcp-server
# Install in your project
npm install random-org-mcp-server
# Run from node_modules
npx random-org-mcp-server
git clone https://github.com/QianJue-CN/TRUERandomMCP.git
cd TRUERandomMCP
npm install
npm run build
Create a .env file in your working directory:
# Copy example file (if building from source)
cp .env.example .env
Edit .env file:
RANDOM_ORG_API_KEY=your_api_key_here
RATE_LIMIT_REQUESTS_PER_SECOND=1
RATE_LIMIT_BURST_SIZE=5
REQUEST_TIMEOUT_MS=10000
MAX_RETRIES=3
RETRY_DELAY_MS=1000
Configure directly in your MCP client (e.g., Claude Desktop):
{
"mcpServers": {
"random-org": {
"command": "npx",
"args": ["random-org-mcp-server"],
"env": {
"RANDOM_ORG_API_KEY": "your_api_key_here"
}
}
}
}
RANDOM_ORG_API_KEY (required) - Your api.random.org API keyRATE_LIMIT_REQUESTS_PER_SECOND (optional, default: 1) - Rate limitingRATE_LIMIT_BURST_SIZE (optional, default: 5) - Burst size for rate limitingREQUEST_TIMEOUT_MS (optional, default: 10000) - Request timeout in millisecondsMAX_RETRIES (optional, default: 3) - Maximum number of retriesRETRY_DELAY_MS (optional, default: 1000) - Delay between retriesLocate your Claude Desktop configuration file:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonAdd the Random.org MCP server configuration:
{
"mcpServers": {
"random-org": {
"command": "npx",
"args": ["random-org-mcp-server"],
"env": {
"RANDOM_ORG_API_KEY": "your_api_key_here"
}
}
}
}
{
"mcpServers": {
"random-org": {
"command": "random-org-mcp",
"env": {
"RANDOM_ORG_API_KEY": "your_api_key_here"
}
}
}
}
{
"mcpServers": {
"random-org": {
"command": "node",
"args": ["node_modules/random-org-mcp-server/dist/index.js"],
"env": {
"RANDOM_ORG_API_KEY": "your_api_key_here"
}
}
}
}
random-org-mcp
npx random-org-mcp-server
npm start
For development with auto-reload:
npm run dev
{
"name": "generateIntegers",
"arguments": {
"n": 5,
"min": 1,
"max": 100,
"replacement": true,
"base": 10
}
}
{
"name": "generateStrings",
"arguments": {
"n": 3,
"length": 8,
"characters": "abcdefghijklmnopqrstuvwxyz0123456789",
"replacement": true
}
}
{
"name": "generateUUIDs",
"arguments": {
"n": 5
}
}
{
"name": "generateGaussians",
"arguments": {
"n": 10,
"mean": 0,
"standardDeviation": 1,
"significantDigits": 6
}
}
{
"name": "getUsage",
"arguments": {}
}
The api.random.org service has the following limits:
The server includes comprehensive error handling:
npm run build - Build the TypeScript codenpm start - Run the compiled servernpm run dev - Run in development mode with auto-reloadnpm run clean - Clean the build directorysrc/
├── index.ts # Main entry point
├── server.ts # MCP server implementation
├── randomOrgClient.ts # API client for random.org
├── rateLimiter.ts # Rate limiting implementation
├── config.ts # Configuration management
└── types.ts # TypeScript type definitions
MIT License - see LICENSE file for details.
For issues related to this MCP server, please open an issue on GitHub. For api.random.org API issues, please refer to their documentation.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
MCP Aggregator
A centralized gateway for managing multiple MCP server connections. Instead of configuring each MCP server individually