Faker API Connector for AI agents.
11 live capabilities
Generate realistic placeholder data for database seeding and UI mockups.
Waiting for input…
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.
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
- 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.
- 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.
- 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.
01—04
4 capabilities in this set.
Part of 11 available through Faker API.
- 01 Capability
Get books
Generates mock book information with titles and authors for library or store applications.
- 02 Capability
Get persons
Creates mock personal details including names and genders for user profile generation.
- 03 Capability
Get places
Generates random geographic place data for maps or location-based services.
- 04 Capability
Get texts
Produces random blocks of text content for layout testing and UI prototyping.
05—08
4 capabilities in this set.
Part of 11 available through Faker API.
- 05 Capability
Get companies
Creates fake company data including business names and VAT numbers for B2B testing.
- 06 Capability
Get users
Generates fake user account data for testing authentication and registration flows.
- 07 Capability
Get credit cards
Produces dummy credit card information for testing payment flows without using real data.
- 08 Capability
Get custom
Builds custom mock data structures by mapping your own field names to Faker types.
09—11
3 capabilities in this set.
Part of 11 available through Faker API.
- 09 Capability
Get images
Fetches mock image URLs from various sources like Picsum or Pokemon for UI placeholders.
- 10 Capability
Get products
Creates mock product listings for e-commerce testing and catalog building.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_1d6UeDZa3GxcUtj29pBEYYPnwezDodnKDwlrsATh/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 API, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Faker API for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_1d6UeDZa3GxcUtj29pBEYYPnwezDodnKDwlrsATh/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 API URL.
- Step 03
Save and start
Save the connection and enable Faker API in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"faker": {
"url": "https://edge.vinkius.com/vk_preview_1d6UeDZa3GxcUtj29pBEYYPnwezDodnKDwlrsATh/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 API
Open Agent mode in chat and ask: "Using Faker API, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"faker": {
"url": "https://edge.vinkius.com/vk_preview_1d6UeDZa3GxcUtj29pBEYYPnwezDodnKDwlrsATh/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 API
Ask Copilot: "Using Faker API, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"faker": {
"url": "https://edge.vinkius.com/vk_preview_1d6UeDZa3GxcUtj29pBEYYPnwezDodnKDwlrsATh/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 API
Open Cascade and ask: "Using Faker API, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"faker": {
"url": "https://edge.vinkius.com/vk_preview_1d6UeDZa3GxcUtj29pBEYYPnwezDodnKDwlrsATh/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 API
Ask Cline: "Using Faker API, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add faker --transport http "https://edge.vinkius.com/vk_preview_1d6UeDZa3GxcUtj29pBEYYPnwezDodnKDwlrsATh/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 API
Ask Claude: "Using Faker API, show me...". 11 tools are ready
Where the request belongs
Work Faker API can move forward.
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.
Software Developer
Seeds a production-like database for a new feature in minutes without manually typing every record.
QA Engineer
Creates thousands of unique test cases to stress-test an API or validate international shipping logic.
Product Designer
Fills high-fidelity prototypes with realistic content instead of lorem ipsum to show stakeholders a real product.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsFaker Data Generator
Generate realistic fake data in seconds. names, emails, addresses, credit cards, companies, and more. 60+ locales including Brazilian Portuguese. The most complete data generator in the ecosystem, with 5M+ weekly downloads.
Deterministic Faker Data Engine
Generate thousands of mock names, addresses, and paragraphs instantly. Perfectly deterministic, 100% local, and ready for E2E testing.
RandomUser API
Generate random user data. audit personas and locations via AI.
Random User Generator
Generate high-quality random user data for testing and prototyping. names, emails, and profile photos directly via AI.
DummyJSON
Access a comprehensive suite of dummy data for testing and prototyping. products, carts, and user authentication directly from your AI agent.
Mockaroo
Generate realistic dummy data. audit schemas and field types via AI.
Bring your own AI
Change the model, client or framework. Keep Faker API connected.
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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.
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