# io.github.dinosaur24/mockhero

> Use this tool when you need to generate realistic test data for relational databases, solving problems such as seeding databases for development or testing, and creating sample data for demos or training. It takes input parameters such as field types, locales, and output formats, and generates output in JSON, CSV, or SQL. Ideal for use cases where realistic and varied test data is required, supporting 156 field types and 22 locales.

Canonical page: https://skillsregistry.net/skills/io-github-dinosaur24-mockhero  
JSON: https://api.skillsregistry.net/v1/skills/io-github-dinosaur24-mockhero

## Description

Generate realistic relational test data. 156 field types, 22 locales, JSON/CSV/SQL.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.dinosaur24%2Fmockhero)
- **Repository:** <https://github.com/dinosaur24/mockhero>

## 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-dinosaur24-mockhero"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-dinosaur24-mockhero` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-dinosaur24-mockhero/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