How to Use the Mockaroo MCP in Mastra AI

Q: How do I secure Mockaroo inside a Mastra AI agent?

You use the built-in requireToolApproval setting. This forces a human to sign off before the agent executes any tool that generates data.

Build resilient data workflows in Mastra AI using automated schema generation and reliable mock data injection.

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Connect Mockaroo MCP to Mastra AI

Create your Vinkius account to connect Mockaroo to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mockaroo with Mastra AI

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Automate test workflows in Mastra AI

Chain `generate_from_schema` into your agent workflows to create realistic test environments on the fly. It allows your agents to verify logic against complex, multi-layered data structures. If a workflow step requires specific inputs, the agent calls the tool and receives the payload instantly. It ensures your tests run against high-fidelity data every single time.

Expose Mockaroo tools to Mastra AI agents

Spread the tools directly into your agent definition for immediate access. You define the behavior, and the agent decides when to trigger `generate_mock_data` based on the task requirements. This keeps your agent logic clean. It removes the need for hard-coded mock scripts that break whenever your database schema changes.

Verify schema integrity with Mastra AI

Audit your available structures using `list_schemas` to ensure agents always use valid definitions. You can program conditional logic that checks for schema existence before running a generation task. It acts as a safety guardrail for your automated pipelines. If a schema is missing, the agent skips the task and alerts the admin instead of failing silently.

Setup guide

Set up Mockaroo MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Mockaroo tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "mockaroo-mcp-client",
  servers: {
    "mockaroo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Mockaroo Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Mockaroo tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Mockaroo transactions"
);
console.log(result.text);

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Common questions about Mockaroo MCP in Mastra AI

Yes, you can configure your Mastra AI workflow to retry the `generate_mock_data` call. It handles the logic for you if the first request hits a rate limit.

You use the built-in `requireToolApproval` setting. This forces a human to sign off before the agent executes any tool that generates data.

It does, provided your schema definitions account for the relationships. You list your schemas first to make sure the agent has the correct context for the relational data.

No, your endpoint token is handled by the MCP transport layer. The keys stay within the server configuration and are never logged by the agent framework.

It generates everything from basic strings and integers to complex PII like names and addresses. You can run `list_field_types` to see the full list of supported formats.

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