How to Use the Urlbox MCP in Mastra AI

Build reliable visual auditing pipelines with Mastra AI using the MCP Server.

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Connect Urlbox MCP to Mastra AI

Create your Vinkius account to connect Urlbox 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 Urlbox with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Capture full web page screenshots.

The `take_full_page_screenshot` tool captures every pixel of a URL, regardless of how much scrolling is needed. This is critical for comprehensive audits because it ensures the entire page content is captured. When Mastra AI runs this through its workflow engine, the full image result becomes a reliable data point that subsequent steps can inspect.

Simulate mobile viewports.

If you need to audit user experience on phones, use `take_mobile_screenshot`. This captures the URL using a specific mobile user agent, so your workflow simulates real-world device usage. This is essential for QA; it lets Mastra AI test how content breaks or looks differently when viewed in a standard phone browser.

Get high-fidelity retina images.

For detailed inspection, the `take_retina_screenshot` tool delivers extremely high-resolution images. This is perfect for use cases where visual accuracy matters—like print materials or forensic audits. The MCP Server provides this enhanced fidelity, letting your complex workflow handle massive amounts of pixel data without losing quality.

Setup guide

Set up Urlbox 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 Urlbox 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: "urlbox-mcp-client",
  servers: {
    "urlbox-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Urlbox MCP in Mastra AI

You can incorporate visual checks into failure paths. For example, if a primary check fails, your workflow can automatically retry by running `take_full_page_screenshot` using the Urlbox MCP Server.

Yes. You don't have to choose one view. Your workflow can conditionally run both `take_mobile_screenshot` and a standard `take_full_page_screenshot` to ensure coverage across multiple devices.

It handles rendering web pages, whether you need basic PNGs or high-resolution retina shots. This allows your agent framework to audit varying levels of visual fidelity.

Absolutely. If a URL is temporarily unavailable, you can build a step that retries the screenshot capture using the MCP Server until success or failure limit is hit.

This server processes web content and visual metadata from URLs. It captures everything from basic PNG screenshots to detailed, high-resolution retina images.

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