# MockHero

> Use this tool when you need to generate realistic and structured test data for development, testing, or demo environments. MockHero solves data generation challenges by creating production-quality data from schemas, prompts, or templates, supporting various field types and formats. It outputs data in JSON, CSV, or SQL formats, making it ideal for use cases requiring realistic data for application testing, prototyping, or training AI models.

Canonical page: https://skillsregistry.net/skills/mockhero  
JSON: https://api.skillsregistry.net/v1/skills/mockhero

## Description

MockHero generates production-quality test data from structured schemas, plain English prompts, or pre-built templates. It supports 156 field types across 15+ categories, maintains foreign key referential integrity across related tables, and automatically matches names, emails, and phone formats to each row's locale across 22 supported countries. Output formats include JSON, CSV, and SQL with PostgreSQL, MySQL, and SQLite dialect support.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mockhero)
- **Repository:** <https://github.com/dinosaur24/mockhero/tree/HEAD/packages/mcp-server>

## 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": "mockhero"
    }
  }
}
```

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