RandomUser API MCP for AI. Generate realistic user data for testing and prototyping.

Q: How do I test the same user profile repeatedly using RandomUser API?

You use the getseededusers tool. You pass a specific seed string (like 'testuser123'), and the server will return the identical data set every single time you run that seed.

Q: Is RandomUser API good for testing global addresses?

Yes, it's built for that. The getrandomusers tool provides detailed geographic metadata, including street addresses and city coordinates, allowing you to test location logic globally.

Q: What should I do if my random user tests fail? Should I check the API status?

Yes, start by checking the service health. Run checkapistatus first. If it reports failure, you know the problem is external to your code.

Q: Can RandomUser API help me see what countries are supported?

Absolutely. Use the listsupportednationalities tool. It gives you a comprehensive list of all country codes available for generating users, so you know your full scope.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

RandomUser API delivers realistic dummy data right into your workflow. Your agent generates full user profiles—including names, emails, phone numbers, addresses, and profile pictures—on demand.

Use it for testing application logic, auditing demographics, or building prototypes without touching a database or writing complex scripts.

What your AI can do

Check api status

Checks whether the RandomUser API service is currently running and available for use.

Get random users

Generates a batch of unique fake user profiles, including names, emails, and locations.

Get seeded users

Produces the exact same set of users every time by running the API with a specific seed string.

+ 1 more capabilities included

Generate random profiles

Creates a batch of fake users, supplying names, emails, and locations.

Predict user data with seeds

Reproduces the exact same set of users by using a specific seed string.

List supported countries

Returns a list of all country codes accepted by the RandomUser API.

Check server health

Verifies if the entire RandomUser API service is currently operational.

Ask an AI about this

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AI Agent

RandomUser API MCP Server: 4 Tools for User Data Generation

These four tools let your AI client generate, check, and list massive amounts of realistic mock user data to power any testing or prototype environment.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using RandomUser API on Vinkius

Check Api Status

Checks whether the RandomUser API service is currently running and available for use.

Get Random Users

Generates a batch of unique fake user profiles, including names, emails, and...

Get Seeded Users

Produces the exact same set of users every time by running the API with a specific...

List Supported Nationalities

Retrieves a list of all country codes that the RandomUser API recognizes.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The RandomUser API integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "randomuser-api": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the RandomUser API tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"randomuser-api": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with RandomUser API, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,000+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by RandomUser. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 4 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Staring down blank mock data files shouldn't take half your afternoon.

Today, testing requires a lot of friction. You spend time finding or manually creating JSON records—a few users for the signup flow, another set for location tests. Then you have to update those mocks every time a field changes, wasting hours on setup and cleanup.

With RandomUser API MCP Server, that process disappears. Your agent handles it instantly: 'Give me 20 users from Canada.' You get diverse data—names, addresses, pictures—without ever touching a mock file or writing boilerplate code.

RandomUser API MCP Server: Get user profiles and locations.

The biggest time sink is the constant context switching. You jump from your UI design tool to your database schema, then back to a spreadsheet just to verify if the test data matches the requirements. It's slow, manual, and always incomplete.

Now, you keep it in one conversation with your AI client. Just ask for what you need, and the agent runs `get_random_users` right there, giving you verifiable, realistic results instantly.

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What your AI can actually do with this

RandomUser API - Generate Mock User Data for Testing

Listen up. If you're building anything that needs fake user data—and trust me, everything does—you don't wanna be messing with static JSON files or writing complicated scripts just to test your logic. This MCP server gives your agent access to a massive pool of realistic dummy profiles on demand. You tell it what you need; it generates the full records instantly.

How It Works

This tool set lets your AI client handle all the heavy lifting for generating and managing thousands of unique user records. When you use these tools, your agent pulls data that looks legit—names, emails, phone numbers, addresses, even profile pictures. You get to test application logic, audit demographics, or build out prototypes without ever touching a live database or worrying about API keys.

It's pure plug-and-play for development.

Checking the Service Status

Before you run any big test suite, you gotta make sure the connection is solid. You can use check_api_status to verify if the entire RandomUser API service is up and running. It's a simple check that confirms the whole system is available for use.

Generating New Profiles on Demand

The main draw here is get_random_users. You can generate an entire batch of unique, fake user profiles using this tool. This isn't just throwing random names together; it gives you structured data including full names, valid-looking email addresses, and location details for each profile. By specifying parameters—like needing ten users from a specific region or only female users—you direct your agent to pull exactly what you need for your test case.

Because this tool is so robust, you'll get reliable geographical information alongside the basic contact data.

Reproducing Tests with Seeds

Sometimes, especially when debugging, you gotta run a test and then re-run it exactly to see if something changed. That's where get_seeded_users comes in. Instead of getting a new set of random users each time, this tool lets you feed the API a specific seed string. When your agent uses that string, it guarantees that every profile generated—names, locations, emails—will be identical to the previous run.

This is crucial for reliable, repeatable testing and auditing.

Defining Your Scope: Country Codes

If your app needs to support international users, you gotta know what regions this API recognizes. You can use list_supported_nationalities to retrieve a complete list of all country codes the RandomUser API accepts. This gives you a quick reference guide so you don't waste time testing unsupported locales.

Summary of Capabilities

Health Check: Use check_api_status to confirm the entire service is operational before starting any work.
Batch Generation: With get_random_users, your agent creates a fresh batch of fake users, supplying names, emails, and locations instantly. You'll get realistic profile pictures linked right in there too.
Controlled Replication: When you need to reproduce an exact data set for debugging, use get_seeded_users with a specific seed string; it guarantees identical results every time.
Scope Definition: To see all the regions your app needs to support, call list_supported_nationalities; this returns the complete list of accepted country codes.

Built · Hosted · Managed by Vinkius RandomUser API - Generate Mock User Data for Testing

Server ID 019d8475-0fda-73bf-9f47-276fa950df76

Vinkius Inspector

Compliance Grade A+

Score 100/100

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Who is this actually for?

QA Engineers, UX Designers, and Product Managers. You're the person who runs into a wall during development—the moment the current test data stops being realistic or doesn't cover enough edge cases. This tool lets you get high-quality, diverse dummy data instantly without needing an API key or writing any setup scripts.

QA Engineer

Needs to monitor test data quality for scalability checks. They use get_random_users repeatedly to simulate high-load traffic with diverse metadata.

UX Designer

Tests UI layouts that require localized names and profile pictures. They ask the agent for specific demographics, verifying visual consistency across regions.

Product Manager

Performs rapid audits of prototype user bases to identify demographic gaps or regional coverage issues using natural language prompts.

What Changes When You Connect

High-Fidelity Data: You get more than just names. The get_random_users tool provides full records, including street addresses and city coordinates, making your test environments feel real.

Predictable Testing: Need to debug a specific bug using the same user profile 10 times? Use get_seeded_users. It guarantees the exact same data every time you run it.

Quick Scope Check: Don't guess which countries you need. Run list_supported_nationalities to get an immediate list of all accepted country codes, mapping out your full scope.

Zero Setup Time: The API is free and requires no key management within your client. You just ask your agent for data—no manual setup or authentication steps needed.

Operational Safety: Before running large tests, run check_api_status. This confirms the server is up, preventing failures due to service outages.

See it in action

01 01

Testing User Signup Flow (QA)

A QA engineer needs to test signup forms across 15 different countries. Instead of manually gathering 15 sets of fake data, they prompt their agent: 'Generate 3 users for Germany, 2 for Mexico, and 4 for Australia.' The agent runs get_random_users multiple times in one go, giving the engineer diverse, localized records to check.

02 02

Validating Prototype UI (UX Designer)

A designer is building a dashboard that must display user details correctly. To verify local data handling, they use list_supported_nationalities first. Then, they ask for '5 users from the UK' via get_random_users, ensuring names and addresses format perfectly before handing it off to development.

03 03

Replicating Edge Case Bugs (Developer)

A developer finds a bug that only appears with a specific user profile. They can't trust random data. By using get_seeded_users and providing the known seed, they force their agent to generate the exact same buggy profile repeatedly until the fix is verified.

04 04

Auditing Market Coverage (Product Manager)

A PM needs to check if their planned feature set covers enough global demographics. They run list_supported_nationalities and see 17 options. They then prompt for 'a mix of users from Asia and South America' to quickly audit regional coverage.

The honest tradeoffs

Hardcoding Test Data

Anti-pattern

Writing a mock JSON file with 5 dummy records because you only need five profiles right now.

The Fix

Don't write the data; ask for it. Use get_random_users to generate 100 unique users on demand. It’s faster, and your data is more diverse.

Assuming Data Consistency

Anti-pattern

Running a test today with random data, passing the test, then running it next week and assuming the failure was in the code.

The Fix

Use get_seeded_users and provide your seed. This locks down the data input so you know if the bug is in the code or the data.

Ignoring Service Health

Anti-pattern

Running a huge test batch at 3 AM only to find out the service was temporarily down.

The Fix

Always check check_api_status first. It's a quick guardrail that tells you if the server is healthy before you start wasting time.

When It Fits, When It Doesn't

Use this server if your core problem is data variability, not database integrity. You need realistic dummy information to test client-side logic or UI layouts; it's a testing tool, not a production source of truth.

Do use it if: You are running QA tests and need diverse records (get_random_users), you need repeatable data for bug hunting (get_seeded_users), or you need to know the global scope of your app (list_supported_nationalities).

Don't use it if: Your application requires integrating with real customer accounts, or if you are building a permanent record-keeping system. For production data, connect to your actual backend—this API is for simulating stress and verifying assumptions.

Questions you might have

How do I test the same user profile repeatedly using RandomUser API? +

You use the get_seeded_users tool. You pass a specific seed string (like 'testuser123'), and the server will return the identical data set every single time you run that seed.

Is RandomUser API good for testing global addresses? +

Yes, it's built for that. The get_random_users tool provides detailed geographic metadata, including street addresses and city coordinates, allowing you to test location logic globally.

What should I do if my random user tests fail? Should I check the API status? +

Yes, start by checking the service health. Run check_api_status first. If it reports failure, you know the problem is external to your code.

Can RandomUser API help me see what countries are supported? +

Absolutely. Use the list_supported_nationalities tool. It gives you a comprehensive list of all country codes available for generating users, so you know your full scope.

Does the RandomUser API need an API key to generate user profiles? +

No, it doesn't. The service is free and open for use. You connect your agent directly without needing to handle any credentials or complex setup.

How do I get profile images using the RandomUser API? +

You retrieve direct links to high-quality pictures. The API provides these image URLs, letting you build visually complete prototypes instantly for your designs.

What specific data points does `get_random_users` return? +

It returns names, emails, and full location details. These records cover everything needed for rapid demographic auditing or verifying UI layouts.

Is the RandomUser API suited for large-scale data testing? +

Yes. Your agent can generate thousands of user records quickly. This makes it ideal for load testing and ensuring your application scales with diverse, high-quality test data.

Is an API Key required for RandomUser API? +

No. RandomUser.me is a free and open service. This server works out of the box without any static credentials required.

Can I generate users from specific countries? +

Yes. Use the getRandomUsers tool and provide the nat parameter with a comma-separated list of country codes (e.g., 'US,FR').

What profile pictures are provided? +

The API provides high-resolution profile picture URLs for every generated user, categorized by size (large, medium, and thumbnail).

Connect to your AI in seconds.

Check api status

Get random users

Get seeded users

RandomUser API MCP Server: 4 Tools for User Data Generation

Make your AI actually useful.

Check Api Status

Get Random Users

Get Seeded Users

List Supported Nationalities

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Staring down blank mock data files shouldn't take half your afternoon.

RandomUser API MCP Server: Get user profiles and locations.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Testing User Signup Flow (QA)

Validating Prototype UI (UX Designer)

Replicating Edge Case Bugs (Developer)

Auditing Market Coverage (Product Manager)

The honest tradeoffs

Hardcoding Test Data

Assuming Data Consistency

Ignoring Service Health

When It Fits, When It Doesn't

Questions you might have