@faker-js/faker Connector for AI agents.
1 live capability
Populate staging databases with realistic, locale-aware mock data for testing.
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Why people use @faker-js/faker
Faker Data Generator for Realistic Database Seeding
With this Connector, you just tell your agent what you need. You can ask for 50 Brazilian user profiles or a list of Japanese companies in seconds. You get a structured list of varied, realistic data ready to be injected into your staging environment.
What Vinkius changes
You get high-quality, varied mock data instead of repetitive AI-generated placeholders.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Seeding a staging database
A developer needs to seed a staging database with 500 Brazilian users.
- Real-world use case 02
Validating payment gateways
A QA tester wants to verify a payment gateway with valid-looking credit cards and transaction amounts.
- Real-world use case 03
Building a Japanese dashboard demo
A designer wants to fill a mock dashboard with Japanese company names and addresses.
Complete set · 1capability
The complete @faker-js/faker capability set.
These are the exact actions your AI can choose when you ask it to work with @faker-js/faker.
01
1 capability in this set.
Part of 1 available through @faker-js/faker.
- 01 Capability
Generate fake data
Request a batch of realistic data points across categories like finance, commerce, or person. Specify a locale like pt_BR to get region-specific names and addresses.
Set up in minutes
One URL. Then ask @faker-js/faker to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use @faker-js/faker from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CTzJjCmk264uBluTZjtIqeypJHp2eMZQBTrUEe43/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it @faker-js/faker, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable @faker-js/faker for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CTzJjCmk264uBluTZjtIqeypJHp2eMZQBTrUEe43/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the @faker-js/faker URL.
- Step 03
Save and start
Save the connection and enable @faker-js/faker in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"faker-data-generator": {
"url": "https://edge.vinkius.com/vk_preview_CTzJjCmk264uBluTZjtIqeypJHp2eMZQBTrUEe43/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using @faker-js/faker
Open Agent mode in chat and ask: "Using @faker-js/faker, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"faker-data-generator": {
"url": "https://edge.vinkius.com/vk_preview_CTzJjCmk264uBluTZjtIqeypJHp2eMZQBTrUEe43/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using @faker-js/faker
Ask Copilot: "Using @faker-js/faker, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"faker-data-generator": {
"url": "https://edge.vinkius.com/vk_preview_CTzJjCmk264uBluTZjtIqeypJHp2eMZQBTrUEe43/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using @faker-js/faker
Open Cascade and ask: "Using @faker-js/faker, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"faker-data-generator": {
"url": "https://edge.vinkius.com/vk_preview_CTzJjCmk264uBluTZjtIqeypJHp2eMZQBTrUEe43/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using @faker-js/faker
Ask Cline: "Using @faker-js/faker, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add faker-data-generator --transport http "https://edge.vinkius.com/vk_preview_CTzJjCmk264uBluTZjtIqeypJHp2eMZQBTrUEe43/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using @faker-js/faker
Ask Claude: "Using @faker-js/faker, show me...". 1 tools are ready
Where the request belongs
Work @faker-js/faker can move forward.
This capability is for developers and QA engineers who need to move past 'lorem ipsum' and populate apps with data that looks and feels real without risking PII.
QA Engineer
Testing a new checkout flow and needing thousands of unique credit card numbers and shipping addresses to verify edge cases.
Frontend Developer
Building a dashboard demo and needing realistic profile pictures and names to make the UI look populated and ready for a demo.
Data Scientist
Creating a synthetic dataset for model training without using sensitive personal information from real users.
Product Manager
Populating a prototype with realistic company data to show stakeholders a live feel during a sprint review.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Random User Generator
Generate high-quality random user data for testing and prototyping. names, emails, and profile photos directly via AI.
Mockaroo
Generate realistic dummy data. audit schemas and field types via AI.
DummyJSON
Access a comprehensive suite of dummy data for testing and prototyping. products, carts, and user authentication directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep @faker-js/faker connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
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Vercel AI SDK
Before you connect
Questions about @faker-js/faker.
The practical details behind the request, access and result.
Can I use Faker Data Generator to get data in different languages?
Yes, it supports over 60 locales. You can request data in specific formats for countries like Brazil, Japan, France, and many others.
Does Faker Data Generator provide real credit card numbers?
No, it provides valid-format numbers meant for testing your payment flows. These are not real cards and cannot be used for actual transactions.
Can I generate a lot of records at once?
Yes, you can request up to 50 records in a single call. This makes it easy to seed database tables or populate large UI components quickly.
Is the data unique every time I call it?
Yes, the capability uses secure randomness to ensure that every record generated is unique and non-repeating for your tests.
Can I use this to populate my staging database?
That is exactly what it's built for. You can ask your agent to generate specific categories like commerce, finance, or person data to fill your environment.
What categories of data are available?
It covers person, internet, company, address, finance, commerce, lorem, date, image, and phone categories.
Can I generate data with Brazilian names and addresses?
Yes. Set locale to 'pt_BR' for Brazilian first/last names, street names, cities, states, and phone formats. Works the same for 60+ other locales.
How many records can I generate at once?
Up to 50 per request. Each contains multiple related fields (e.g. person returns firstName, lastName, fullName, gender, jobTitle, and bio).
Is the data different every time I call it?
Yes. Each call generates completely fresh, unique data using cryptographic randomness. No two calls produce the same result.
One connection away
Give your agent a direct line to @faker-js/faker.
Connect @faker-js/faker once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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