# Random.org

> Use this tool when you need to generate truly random numbers, solving the problem of deterministic biases in LLMs. It fetches random numbers from Random.org's atmospheric noise-based API, supporting customizable ranges and proper validation. Ideal for applications like statistical sampling, gaming, and cryptography where true randomness is crucial.

Canonical page: https://skillsregistry.net/skills/random-number  
JSON: https://api.skillsregistry.net/v1/skills/random-number

## Description

This MCP server by maxbogo addresses the fundamental problem that LLMs struggle with generating truly random numbers due to their deterministic nature and training biases, as demonstrated by distribution analysis showing clear patterns in random number generation from popular LLMs like Claude, Gemini, and OpenAI. The implementation provides a single tool that fetches genuinely random numbers from Random.org's atmospheric noise-based API, supporting customizable ranges with proper validation and error handling. It's particularly valuable for applications requiring true randomness such as statistical sampling, gaming, cryptographic operations, or any scenario where LLM-generated pseudo-randomness would introduce unwanted bias or predictability.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/random-number)
- **Repository:** <https://github.com/maxbogo/mcp-random-number>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "random-number"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/random-number` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/random-number/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt