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Vinkius

Faker API Connector for AI agents.

11 live capabilities

Generate realistic placeholder data for database seeding and UI mockups.

Live agent request Faker API / Connector

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AI Agent

Why people use Faker API

Faker Mock Data for Faster Software Development

With this Connector, that manual work disappears. You can simply tell your AI agent to build a full set of user profiles, company records, or product listings in seconds. You get high-quality, structured data that actually looks real, allowing you to move straight to building features.

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

What Vinkius changes

You get high-quality, structured mock data on demand without ever touching a spreadsheet.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Seeding a new user table

    A developer needs 50 unique user accounts for a new signup flow and asks the agent to create them.

  2. Real-world use case 02

    Testing a global checkout

    A QA engineer needs to verify VAT logic for German addresses and asks for a batch of German data.

  3. Real-world use case 03

    Building a product catalog

    A designer wants to fill a shop prototype with 10 items and asks the agent to generate products with images.

Complete set · 11capabilities

The complete Faker API capability set.

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

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 11 available through Faker API.

  1. 01 Capability

    Get books

    Generates mock book information with titles and authors for library or store applications.

  2. 02 Capability

    Get persons

    Creates mock personal details including names and genders for user profile generation.

  3. 03 Capability

    Get places

    Generates random geographic place data for maps or location-based services.

  4. 04 Capability

    Get texts

    Produces random blocks of text content for layout testing and UI prototyping.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through Faker API.

  1. 05 Capability

    Get companies

    Creates fake company data including business names and VAT numbers for B2B testing.

  2. 06 Capability

    Get users

    Generates fake user account data for testing authentication and registration flows.

  3. 07 Capability

    Get credit cards

    Produces dummy credit card information for testing payment flows without using real data.

  4. 08 Capability

    Get custom

    Builds custom mock data structures by mapping your own field names to Faker types.

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through Faker API.

  1. 09 Capability

    Get images

    Fetches mock image URLs from various sources like Picsum or Pokemon for UI placeholders.

  2. 10 Capability

    Get products

    Creates mock product listings for e-commerce testing and catalog building.

  3. 11 Capability

    Get addresses

    Creates mock address data that can be filtered by country code for global testing.

Set up in minutes

One URL. Then ask Faker API to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Faker API 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_1d6UeDZa3GxcUtj29pBEYYPnwezDodnKDwlrsATh/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 Faker API, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Faker API for the conversation.

Where the request belongs

Work Faker API can move forward.

Built around the request

This is for the developers and designers who are tired of manual data entry and want to move from a blank screen to a functional prototype in minutes.

01

Software Developer

Seeds a production-like database for a new feature in minutes without manually typing every record.

02

QA Engineer

Creates thousands of unique test cases to stress-test an API or validate international shipping logic.

03

Product Designer

Fills high-fidelity prototypes with realistic content instead of lorem ipsum to show stakeholders a real product.

Bring your own AI

Change the model, client or framework. Keep Faker API 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 Faker API.

The practical details behind the request, access and result.

Can I use the Faker MCP to generate data for different countries?

Yes, this Connector supports over 70 locales. You can ask your agent to generate addresses, names, and other details specific to any region to make your testing more realistic.

Is the data generated by the Faker MCP real?

No, all the data is completely fake. It's designed to look realistic for testing and development purposes, so you don't have to worry about using real personal information.

Can I create custom data structures with the Faker MCP?

Yes, you can define your own field mappings. This lets you generate mock data that fits your specific application schema perfectly.

Does the Faker MCP help with UI design?

Definitely. You can use it to pull in placeholder images and realistic text blocks, which helps you move past lorem ipsum and see how your design actually handles real content.

How does the Faker MCP help with QA testing?

It allows you to quickly generate large volumes of structured data, like credit cards or company profiles, which is perfect for stress testing and edge-case validation.

Can I generate data in specific languages like Brazilian Portuguese or French?

Yes! Use the _locale parameter with codes like pt_BR or fr_FR. This ensures that names, addresses, and other fields follow the conventions of that specific region.

How do I ensure I get the same random data every time for my tests?

You can use the _seed parameter. By providing the same integer seed in your request, the generator will produce identical results, which is perfect for regression testing.

What is the maximum amount of data I can request in a single call?

The _quantity parameter allows you to request between 1 and 1000 rows of data per capability execution.

One connection away

Give your agent a direct line to Faker API.

Connect Faker API once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available