# f0_make_randomvalues MCP Server

> Use this tool when you need to generate and analyze random numbers with statistical insights, or create test datasets with reproducible results. It solves problems related to data quality and reproducibility by providing interactive prompts for dataset creation and analysis. The tool accepts input parameters for random number generation and outputs CSV data and visualizations for further analysis.

Canonical page: https://skillsregistry.net/skills/sengokusal2025-f0-20251002  
JSON: https://api.skillsregistry.net/v1/skills/sengokusal2025-f0-20251002

## Description

Enables random number generation with statistical analysis, CSV data storage, and data visualization capabilities. Provides interactive prompts for creating test datasets, analyzing data quality, and managing reproducible random data workflows.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jewhdez3a9)
- **Repository:** <https://github.com/sengokusal2025/f0_20251002>

## 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": "sengokusal2025-f0-20251002"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sengokusal2025-f0-20251002` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sengokusal2025-f0-20251002/pull`

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