# Faker

> Use this tool when you need to generate realistic fake data for testing and development purposes, such as populating test databases or creating demo data. It solves problems related to data scarcity and privacy concerns by producing customizable, locale-specific data for person records, companies, and custom patterns. With support for batch processing and seed management, Faker is ideal for creating complex relational datasets with reproducible results.

Canonical page: https://skillsregistry.net/skills/funsjanssen-faker  
JSON: https://api.skillsregistry.net/v1/skills/funsjanssen-faker

## Description

A TypeScript-based MCP server that generates realistic fake data using Faker.js, supporting person records (names, emails, addresses, phone numbers), company data (names, industries, contact info), custom pattern-based generation (regex, enums, ranges, format templates), and structured datasets with referential integrity between related entities. Features reproducible generation through seed management, multi-locale support (English, French, German, Spanish, Japanese), and batch processing for large datasets up to 10,000 records. Useful for populating test databases, creating demo data, API testing scenarios, and generating complex relational datasets for development and testing workflows.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/funsjanssen-faker)
- **Repository:** <https://github.com/funsjanssen/faker-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": "funsjanssen-faker"
    }
  }
}
```

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