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How to Use the Urlbox MCP in Vercel AI SDK

Stream visual data streams directly into your UI using Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Urlbox MCP to Vercel AI SDK

Create your Vinkius account to connect Urlbox to Vercel AI SDK 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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Capture basic URL screenshots.

The `take_screenshot` tool grabs a standard PNG image of the given URL. This is useful for quick visual checks when you don't need high resolution or specific viewport sizes. You can easily call this from your client code, and the result streams right into your React component. The user sees the image appear live, without waiting on a loading spinner.

Generate reports via PDF.

When you run `generate_pdf`, the system takes the content from a URL and spits out a complete PDF file. This makes it simple to generate official-looking audit documents directly in your user interface. It handles the whole rendering process, letting you pass the resulting data stream back up through your Vercel AI SDK client.

Pull basic page metadata.

The `get_metadata` tool pulls core information about a URL before any visual capture happens. This lets your agent decide if it needs to proceed with a screenshot or just pass the data along. You call this method, and the structured results stream back instantly, giving you context that helps guide the rest of your application's logic.

Setup guide

Set up Urlbox MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Urlbox tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Urlbox transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Urlbox. 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.

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Common questions about Urlbox MCP in Vercel AI SDK

The MCP Server streams tool results directly into your UI layer. This means when you call a function like `take_screenshot` from the Vercel AI SDK, the user sees the data appearing in real-time as it arrives.
Yup. You can absolutely stream a complete PDF generation process using `generate_pdf`. Your agent calls the tool, and the resulting file data flows back through your client's streaming mechanism.
Urlbox lets you perform several types of audits. You can get full-page views, mobile viewport shots, or basic screenshots, all streamed directly to your frontend via the Vercel AI SDK.
It supports multi-step operations. For instance, you can first call `get_metadata` and then use that result to decide whether or not to run a full screenshot capture.
This MCP Server handles web content, specifically the URLs provided for rendering. It processes visual and textual metadata derived from those external web pages.

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