How to Use the Urlbox MCP in Vercel AI SDK
Stream visual data streams directly into your UI using Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Urlbox MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Urlbox tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 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.
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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Urlbox MCP in Vercel AI SDK
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