Faker

Faker MCP Connector for Claude

A+

Generate high-quality mock data for development and testing — including addresses, persons, companies, and products in multiple locales.

11 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect the Faker MCP server to your AI agent to instantly generate realistic placeholder data for your applications. Whether you need to populate a database, test an API, or create UI mockups, Faker provides a comprehensive suite of tools to generate structured data on demand.

What you can do

  • Personal & User Data — Generate mock profiles, names, and user credentials with get_persons and get_users.
  • Business Entities — Create fake companies, VAT numbers, and products using get_companies and get_products.
  • Localization — Support for over 70 locales to ensure your data looks authentic for any region using the _locale parameter.
  • Media & Content — Fetch placeholder images and random text blocks for UI design via get_images and get_texts.
  • Financial Data — Generate safe credit card information for checkout flow testing with get_credit_cards.

How it works

  1. Subscribe to this server
  2. Enter your FakerAPI credentials if required
  3. Start generating structured data directly from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Developers — quickly seed databases or mock API responses without manual entry.
  • QA Engineers — create diverse test cases with randomized but structured data.
  • Product Designers — fill prototypes with realistic content instead of 'lorem ipsum'.
mock-datafakertestingapi-developmentdummy-data

11 tools expose this connector's capabilities to your AI agent.

get_addresses

Can be filtered by country_code. Generate mock address data

get_books

Generate mock book information

get_companies

Generate mock company data

get_credit_cards

Generate mock credit card information

get_custom

Pass a JSON object mapping field names to Faker types (e.g. {"myField": "name", "otherField": "email"}). Generate custom mock data structures

get_images

Supports sources like Picsum and types like "any" or "pokemon". Generate mock image URLs

get_persons

Supports genders "male", "female", and "other". Generate mock personal information

get_places

Generate mock place data

get_products

Generate mock product data

get_texts

Generate mock text content

get_users

Generate mock user account data

See how to talk to your AI agent using Faker.

Generate 5 fake company profiles with websites and VAT numbers.

I've generated 5 mock companies for you, including 'TechFlow Solutions' and 'Global Logistics Inc.', complete with their registered VAT numbers and official websites.

I need 10 random addresses in Germany using the de_DE locale.

Here are 10 German addresses. They include street names like 'Hauptstraße' and 'Goethestraße' with valid postal codes and city names formatted for the de_DE region.

Give me 3 mock books with titles and authors.

I've retrieved 3 mock books: 'The Silent Echo' by Jane Doe, 'Digital Horizons' by John Smith, and 'Beyond the Veil' by Alice Johnson.

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.

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