Faker MCP Server

@funsjanssen

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

funsjanssen

提交者

Funs Janssen

关于 Faker MCP Server

A Model Context Protocol (MCP) server that provides fake/mock data generation capabilities using the Faker.js library. Generate realistic test data for database seeding, API testing, demo applications, and development environments.

#typescript #mcp#faker#data-generation #test-data #mock-data#fake-data#model-context-protocol

Faker MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "faker": {
      "command": "npx",
      "args": [
        "faker-mcp-server"
      ]
    }
  }
}

Faker MCP Server 工具

Generates fake person data including names, emails, phone numbers, and addresses

Generates fake company data including names, industries, contact information, and addresses

Generate a structured dataset with multiple related entities and referential integrity. Supports person, company, and custom entity types with one-to-many and many-to-many relationships. Perfect for creating test databases, mock APIs, and complex data scenarios.

Generates fake data following custom patterns, including regex patterns, enums, formats, and ranges

概览

What is Faker MCP Server?

Faker MCP Server is a Model Context Protocol (MCP) server that uses the Faker.js library to generate fake or mock data for testing and development. It provides realistic test data suitable for database seeding, API testing, demo applications, and development environments.

How to use Faker MCP Server?

—

Key features of Faker MCP Server

Generate realistic person and company data (names, emails, addresses)
Create multi-entity datasets with referential integrity
Custom pattern-based data generation (regex, enum, format, range)
Multi-locale support: English, French, German, Spanish, Japanese
Seed-based generation for reproducible test data
High performance — 1000+ records per second

Use cases of Faker MCP Server

Database seeding with realistic fake records
API testing with structured, referentially intact datasets
Building demo applications with placeholder data
Development environment data mocking

常见问题

What locales are supported?

The server supports English, French, German, Spanish, and Japanese locales.

Can I get reproducible data?

Yes, the server supports seed-based generation so you can produce consistent test data across runs.

How fast can this server generate data?

It can generate over 1000 records per second.

What kind of custom patterns can I use?

You can generate data following custom patterns including regex, enum values, specific formats, and numeric ranges.

Does it integrate with any MCP host?

The server is fully MCP Protocol compliant, so it integrates seamlessly with any MCP-compatible AI agent or host.

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