How to Use the Browserbase MCP in Vercel AI SDK

Q: How do I connect the Browserbase MCP Server to Vercel AI SDK?

Install @ai-sdk/mcp and create a client pointing to your Vinkius endpoint URL. Pass the tools directly into your generation function to let your agent control the browser using our MCP tools.

Q: How does Vercel AI SDK handle Browserbase session timeouts?

By default, createbrowsersession keeps the session alive for 300 seconds. You can monitor the status using getbrowsersession and close it early if your task finishes.

Q: Is it possible to filter active browser sessions in my Next.js app?

Use listbrowsersessions to get a list of current sessions. You can filter by RUNNING, COMPLETED, or ERROR to show a clean dashboard to your users.

Spin up cloud browsers and stream live DOM actions directly to your Next.js frontend using Vercel AI SDK.

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Connect Browserbase MCP to Vercel AI SDK

Create your Vinkius account to connect Browserbase 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 Browserbase with Vercel AI SDK

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Stream Browser Actions Live to Vercel AI SDK UI

When your agent spawns a browser, users shouldn't stare at a blank loading spinner. Calling `create_browser_session` returns a live CDP WebSocket URL that feeds browser state directly into your React components. The Vercel AI SDK lets you pipe this raw websocket data straight to the frontend. Your users watch the agent click, type, and scrape in real time instead of waiting for a final API response.

Manage Session States on Vercel Edge Functions

Running heavy browser automation on edge networks usually breaks because of cold starts and memory limits. This MCP Server moves the heavy lifting to the cloud, letting your edge functions trigger actions via `get_browser_session` without choking. You spin up the browser, check its progress, and shut it down using light HTTP requests. It keeps your edge execution times low and avoids expensive serverless bills.

Close Idle Sessions to Save API Costs

Leaving headless browsers running in the background will drain your budget fast. Using `stop_browser_session` inside your cleanup blocks ensures you never pay for idle compute. The Vercel AI SDK makes it easy to trigger this cleanup. Once `streamText` finishes or the user closes the tab, a quick call kills the browser and wipes the temporary state.

Setup guide

Set up Browserbase 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 Browserbase 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 Browserbase 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 Browserbase. 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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Browserbase MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and create a client pointing to your Vinkius endpoint URL. Pass the tools directly into your generation function to let your agent control the browser using our MCP tools.

Yes, because the actual Chromium instances run on Browserbase infrastructure, not on Vercel. Your edge code just calls `create_browser_session` and controls it via lightweight WebSocket connections.

By default, `create_browser_session` keeps the session alive for 300 seconds. You can monitor the status using `get_browser_session` and close it early if your task finishes.

Use `list_browser_sessions` to get a list of current sessions. You can filter by RUNNING, COMPLETED, or ERROR to show a clean dashboard to your users.

No, session data like DOM snapshots, cookies, and typed credentials are kept in ephemeral V8 sandboxes. Everything gets wiped via the MCP interface the moment you call `stop_browser_session` or the timeout hits.

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