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Vinkius

Mockaroo Connector for AI agents.

5 live capabilities

Generate realistic test data and audit schemas for your development workflows.

Live agent request Mockaroo / Connector

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AI Agent

Why people use Mockaroo

Mockaroo : Solve the Manual Data Entry Bottleneck

This Connector changes that by letting your agent do the heavy lifting. You just describe the data you need, and it handles the schema lookup and generation. You get production-ready test data in seconds, not hours.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get production-ready test data via natural language instead of manual configuration.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    QA Testing

    A QA engineer needs 500 rows of realistic user data for a new signup flow.

  2. Real-world use case 02

    API Validation

    A backend dev wants to verify a new endpoint.

  3. Real-world use case 03

    Product Prototyping

    A PM needs to show a dashboard with real looking sales figures.

Complete set · 5capabilities

The complete Mockaroo capability set.

These are the exact actions your AI can choose when you ask it to work with Mockaroo.

Capability set01 / 02

01—03

3 capabilities in this set.

Part of 5 available through Mockaroo.

  1. 01 Capability

    Generate mock data

    Generate dummy data based on a list of fields. Use this to quickly create custom records in JSON format.

  2. 02 Capability

    List schemas

    List saved schemas in your Mockaroo account. This helps you find and reuse existing data structures quickly.

  3. 03 Capability

    List field types

    List all available field types for generation. Use this to discover the best markers for your specific test needs.

Capability set02 / 02

04—05

2 capabilities in this set.

Part of 5 available through Mockaroo.

  1. 04 Capability

    Generate from schema

    Generate data using a saved schema name. This ensures your test data always follows a pre-defined structure.

  2. 05 Capability

    List datasets

    List uploaded datasets in Mockaroo. Use this to check your reference files and maintain organizational control.

Set up in minutes

One URL. Then ask Mockaroo to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Mockaroo from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_99yuNi8WidU6swzbcZIzeI3U1uyFmgok7L54Fnqk/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Mockaroo, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Mockaroo for the conversation.

Where the request belongs

Work Mockaroo can move forward.

Built around the request

This is for developers and QA leads who are tired of manual data entry. It's for the person who needs 1,000 unique rows of data today and doesn't want to spend all afternoon building a CSV.

01

QA Engineer

They use this to quickly generate huge batches of realistic user data to stress-test new signup flows.

02

Backend Developer

They use this to verify API endpoints by generating JSON payloads that match their specific schema requirements.

03

Product Manager

They use this to populate prototypes with diverse data so they can show stakeholders a realistic product experience.

04

Operations Lead

They use this to audit existing datasets and ensure cross-functional teams are using the correct data structures.

Bring your own AI

Change the model, client or framework. Keep Mockaroo connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Mockaroo.

The practical details behind the request, access and result.

How do I get realistic test data for my app using Mockaroo?

You can connect the Mockaroo MCP to your AI client. This lets you describe the data you need in plain English, and the agent will generate realistic records like names, addresses, and phone numbers instantly.

Can Mockaroo generate JSON for my API tests?

Yes, it can. The Connector allows your agent to generate dummy data in JSON format, making it easy to feed your API endpoints with high-quality test records.

How does Mockaroo handle different types of data like names or dates?

It uses a professional catalog of markers. Your agent can browse these types to find the exact format you need, such as specific date ranges or regional phone numbers.

Can I use existing schemas to generate data with Mockaroo?

Yes, you can. If you have a saved schema, your agent can pull data from it to ensure that every test run uses the exact same structure and field types.

Is Mockaroo good for QA engineers who need a lot of dummy data?

It's a great fit for QA. Instead of manually creating files, you can ask your agent to generate hundreds of rows of diverse data in one go, which helps you test for edge cases and scale.

How do I see what datasets I have in Mockaroo?

You can ask your agent to list your uploaded datasets. It will show you everything you have stored, helping you stay organized without having to log into the web dashboard.

How do I find my Mockaroo API Key?

Log in to your Mockaroo account, and you will find your API Key on the API Keys page. Copy and paste it below.

Can the agent use my saved schemas?

Yes. Use the generate_from_schema capability providing the name of your saved schema. Your agent will generate data following that specific structure instantly.

Is it possible to list all available field types?

Yes. The list_field_types capability returns the full catalog of Mockaroo field types, allowing you to audit available markers for your data generation.

One connection away

Give your agent a direct line to Mockaroo.

Connect Mockaroo once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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