How to Use the Browse AI MCP in Vercel AI SDK

Stream Browse AI extraction results straight into your Vercel AI SDK frontends for live, real-time data updates.

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Connect Browse AI MCP to Vercel AI SDK

Create your Vinkius account to connect Browse AI 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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Setup Browse AI with Vercel AI SDK

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Trigger live web extraction in Vercel AI SDK

Call `run_robot` directly from your server-side logic to initiate a data scrape. Your UI reacts instantly as the tool executes, pushing the extracted data into your React or Next.js components. Since this MCP Server streams results, your end users see the data populate immediately. No waiting for a full task completion, just raw data hitting your frontend state as it arrives.

Monitor extraction health within Vercel AI SDK

Use `get_system_status` to keep tabs on the robot queue before firing off heavy requests. This prevents your app from hitting rate limits or running into blocked tasks. Checking `get_task` gives you granular visibility into individual runs. Your interface will know exactly when the data is ready for display, making your application feel fast and responsive.

Manage robot configurations via Vercel AI SDK

Use `list_robots` to pull your available scrapers into a dynamic dropdown or selection menu. This keeps your application logic decoupled from the specific Browse AI robots you use. `list_monitors` lets you pull scheduling data directly into your admin dashboard. You can show users exactly when their next automated check happens without leaving your application.

Setup guide

Set up Browse AI 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Browse AI tools. Pass them directly to generateText() or streamText() — 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.

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 Browse AI transactions",
});

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

Get your connection token →

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

Connect Browse AI now

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 Browse AI MCP in Vercel AI SDK

You add the server by using the Vercel AI SDK transport configuration. Point your client to the Vinkius endpoint URL and pass the tools into your generateText call.

Yes, because the SDK supports streaming MCP tool results. Your frontend updates as soon as the robot finishes its run.

Your extracted web data stays encrypted in transit. Vinkius manages the auth tokens, so your AI client never touches your raw Browse AI credentials.

The server includes ten functions for triggering robots, checking task logs, and listing your active monitors.

Not really. Since the MCP Server acts as an interface, your edge functions handle the communication directly.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.