# io.github.zazencodes/random-number-mcp

> Use this tool when you need to generate random numbers in Python, solving problems such as simulations, modeling, and statistical analysis. It provides essential utilities from the Python standard library, accepting input parameters like ranges and distributions, and outputting random numbers. Ideal for use cases requiring unpredictability and randomness in data generation, modeling, and testing.

Canonical page: https://skillsregistry.net/skills/io-github-zazencodes-random-number-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-zazencodes-random-number-mcp

## Description

Essential random number generation utilities from the Python standard library

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.zazencodes%2Frandom-number-mcp)
- **Repository:** <https://github.com/zazencodes/random-number-mcp>

## 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": "io-github-zazencodes-random-number-mcp"
    }
  }
}
```

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