• DATA
  • SCHEMA
  • VALIDATION
  • HUMAN

How to generate custom mock data with your AI

Connect Mockaroo to your AI client to turn natural language descriptions into structured JSON files. You define the schema, and the AI handles the heavy lifting.

Ask AI about this page

Short answer

How can I use my AI to make custom mock data?

Tell your AI what kind of data you need, such as user profiles or transaction logs, and it will use Mockaroo to build the exact JSON structure you want. You get specific, valid datasets that match your custom field requirements immediately.

The results.

What you get from this task.

The AI turns your text descriptions into ready-to-use data files.

DATA

Custom JSON files

The AI generates structured datasets that follow your exact field names and types. You get clean files ready for testing or development.

SCHEMA

Defined field types

The AI maps your requirements to specific data formats. It ensures every field, from emails to UUIDs, matches your needs.

VALIDATION

Syntactically correct files

The resulting data is valid JSON. You won't have to fix broken syntax or missing brackets after the AI finishes.

HUMAN

Manual schema tweaks

You still need to review the final field logic. If the data looks too generic, you'll need to refine your prompt to add more specific constraints.

The workflow

What your AI does when the request arrives.

The AI translates your intent into specific data generation commands.

  1. Identify field types

    The AI looks at your description to figure out which data types you actually need, like names, dates, or custom strings.

    list_field_types

  2. Map the schema

    It organizes your requirements into a structured format that the data engine understands.

    list_field_types

  3. Build the dataset

    The AI executes the generation process to create the specific number of records you asked for.

    generate_mock_data

  4. Deliver the JSON

    The final output is packaged as a clean JSON object that you can copy or save immediately.

    generate_mock_data

Try it

Copy these to start.

Use these prompts to kick off your data generation.

Starting points

Swap out the bracketed text for your actual requirements, like specific field names or the number of rows you need.

Mockaroo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_99yuNi8WidU6swzbcZIzeI3U1uyFmgok7L54Fnqk/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Mockaroo capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "mockaroo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_99yuNi8WidU6swzbcZIzeI3U1uyFmgok7L54Fnqk/mcp"
    }
  }
}
Copy into chat04

  • Generate a JSON dataset with 50 rows containing user_id, full_name, and email addresses.

  • Create 10 records for a product catalog including sku, price, and category fields.

  • Build a mock dataset of 100 transaction logs with timestamps, amounts, and merchant_names.

  • I need a JSON file with 20 entries for a test database containing uuid, created_at, and status fields.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Mockaroo once, then ask.

Just click the link to connect your account. Your credentials stay encrypted, and you can start prompting your AI immediately.

Connect Mockaroo to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my existing database schema?

    No. The AI only generates new mock data based on your instructions; it cannot access or modify your real databases.

  • 02

    Can I ask for specific data formats like CSV?

    No. This specific workflow is built to generate JSON datasets.

  • 03

    Does the AI decide the field names?

    It can, but it's better if you provide the exact field names you want in your prompt to ensure the data fits your code.

  • 04

    Can the AI delete data it previously generated?

    No. The AI only creates new data through the generation tool; it has no capability to delete or manage files.

  • 05

    How many rows can I request at once?

    The number of rows is limited by the generation tool's capacity, but you can specify any reasonable amount in your prompt.

  • More questions about Mockaroo? See everything the Mockaroo Connector can do

Connect Mockaroo to Claude, Cursor, ChatGPT & more