Random User Generator Connector for AI agents.
1 live capability
Populate your app prototypes with realistic profile data.
Waiting for input…
Why people use Random User Generator
Random User Generator for Rapid App Prototyping
This Connector changes that by letting your AI client pull live data from a reliable source. Just tell your agent what you need, and it handles the heavy lifting of fetching unique names, emails, and avatars in seconds.
What Vinkius changes
You get production-ready mock data without the manual copy-pasting.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
UI Mockups
A designer asks the agent to 'fill this table with 10 users from Brazil' to check the layout.
- Real-world use case 02
Database Seeding
A dev needs to populate a local SQL database with 1,000 entries for a new feature.
- Real-world use case 03
Edge Case Testing
A QA engineer asks for users with specific locations to test regional pricing logic.
Complete set · 1capability
The complete Random User Generator capability set.
These are the exact actions your AI can choose when you ask it to work with Random User Generator.
01
1 capability in this set.
Part of 1 available through Random User Generator.
- 01 Capability
Generate users
Request a batch of random users with filters for nationality, gender, and page numbers. This is the primary capability for grabbing any amount of mock data you need for your project.
Set up in minutes
One URL. Then ask Random User Generator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Random User Generator 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_YBSEzcjHIy9TjqUxgiQZUcxS9ZQneqqi8884uG83/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 Random User Generator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Random User Generator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YBSEzcjHIy9TjqUxgiQZUcxS9ZQneqqi8884uG83/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 Random User Generator URL.
- Step 03
Save and start
Save the connection and enable Random User Generator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"random-user-generator": {
"url": "https://edge.vinkius.com/vk_preview_YBSEzcjHIy9TjqUxgiQZUcxS9ZQneqqi8884uG83/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 Random User Generator
Open Agent mode in chat and ask: "Using Random User Generator, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"random-user-generator": {
"url": "https://edge.vinkius.com/vk_preview_YBSEzcjHIy9TjqUxgiQZUcxS9ZQneqqi8884uG83/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 Random User Generator
Ask Copilot: "Using Random User Generator, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"random-user-generator": {
"url": "https://edge.vinkius.com/vk_preview_YBSEzcjHIy9TjqUxgiQZUcxS9ZQneqqi8884uG83/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 Random User Generator
Open Cascade and ask: "Using Random User Generator, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"random-user-generator": {
"url": "https://edge.vinkius.com/vk_preview_YBSEzcjHIy9TjqUxgiQZUcxS9ZQneqqi8884uG83/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 Random User Generator
Ask Cline: "Using Random User Generator, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add random-user-generator --transport http "https://edge.vinkius.com/vk_preview_YBSEzcjHIy9TjqUxgiQZUcxS9ZQneqqi8884uG83/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 Random User Generator
Ask Claude: "Using Random User Generator, show me...". 1 tools are ready
Where the request belongs
Work Random User Generator can move forward.
This is for the developers and designers who are tired of manually typing 'User 1', 'User 2' into a database. It's for anyone who needs to see a high-fidelity, populated UI without the headache of manual data entry.
Frontend Developer
Building a dashboard and needs to see how 50 different names and avatars look in the grid.
QA Engineer
Stress testing a search bar by injecting 5,000 records into a test environment.
Product Designer
Creating high-fidelity mockups that need to feel populated and lived-in.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRandomUser API
Generate random user data. audit personas and locations via AI.
Deterministic Faker Data Engine
Generate thousands of mock names, addresses, and paragraphs instantly. Perfectly deterministic, 100% local, and ready for E2E testing.
Faker 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.
Faker
Generate high-quality mock data for development and testing. including addresses, persons, companies, and products in multiple locales.
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 Random User Generator 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 Random User Generator.
The practical details behind the request, access and result.
Can the Random User Generator MCP create profile images?
Yes, it provides URLs for realistic profile photos for every user it generates, making it perfect for populating UI components.
How many users can I get at once with this Connector?
You can request up to 5,000 profiles in a single batch, which is ideal for heavy-duty stress testing or large database seeding.
Can I filter users by specific countries?
Yes, you can tell your agent to only pull users from specific nationalities like the US, UK, or Brazil to match your target demographic.
Will the names be the same every time I use it?
Not unless you use a seed. If you want to keep your data consistent for repeated tests, just ask your agent to use a specific seed.
Do I need an API key for the Random User Generator MCP?
No, the public service doesn't require an API key, so you can get started immediately without extra setup.
Is this Connector good for stress testing my app?
It's perfect for that. You can generate massive amounts of data to see how your app handles high volume and complex layouts.
Can I generate users from specific countries like the US or France?
Yes! Use the generate_users capability and provide a comma-separated list of nationalities in the nat parameter (e.g., 'US,FR').
How do I ensure I get the same random users every time I run a test?
You can use the seed parameter in the generate_users capability. Providing the same string as a seed will return the exact same set of user data for deterministic testing.
Is it possible to exclude sensitive fields like login passwords from the response?
Absolutely. Use the exc parameter to list fields you want to exclude (e.g., 'login'), or use inc to specify only the fields you need (e.g., 'name,email,picture').
One connection away
Give your agent a direct line to Random User Generator.
Connect Random User Generator once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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