How to Use the Browserless (Playwright Cloud) MCP in Vercel AI SDK

Q: Can I use Browserless (Playwright Cloud) with Vercel AI SDK to scrape protected sites?

You can use the scrapewithstealth tool to mimic real browser behavior. This helps you avoid basic bot detection while your agent gathers data.

Render live browser data into your Vercel AI SDK frontend without waiting for spinners.

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Connect Browserless (Playwright Cloud) MCP to Vercel AI SDK

Create your Vinkius account to connect Browserless (Playwright Cloud) 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 Browserless (Playwright Cloud) with Vercel AI SDK

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Stream live browser data into your AI SDK app

Your AI client uses `get_html_content` to pull raw source code directly into your React or Next.js components. Since this MCP Server streams results, your end users watch the content populate in real-time. Stop forcing your users to stare at static loaders. By piping the output of `scrape_elements` into your UI state, the data appears the moment the browser finishes the request.

Run complex scripts before your AI SDK renders

Invoke `scrape_with_js` to execute your custom imperative logic inside the remote browser environment. This allows your app to click buttons or toggle menus before the AI grabs the final HTML state. Your agent handles the heavy lifting remotely. You just define the script and let the MCP connection feed the result back to your edge function.

Automate screenshot capture via AI SDK

Trigger `get_screenshot` to generate visual snapshots of any web page during a conversation. Your interface receives the image binary immediately for display in your chat window. This bypasses the need for client-side rendering. You keep your Vercel logic clean while the server handles the browser lifecycle.

Setup guide

Set up Browserless (Playwright Cloud) 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 Browserless (Playwright Cloud) 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 Browserless (Playwright Cloud) 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 Playwright Cloud. 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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Common questions about Browserless (Playwright Cloud) MCP in Vercel AI SDK

You install the MCP client package and point it to the Vinkius endpoint. Your code initializes the connection and feeds the tool definitions directly into your streamText function.

Yes, it uses standard HTTP transport compatible with edge environments. You just need to manage the lifecycle by closing the connection after your request completes.

You can use the `scrape_with_stealth` tool to mimic real browser behavior. This helps you avoid basic bot detection while your agent gathers data.

Vinkius handles authentication via a single endpoint token so your credentials never hit your frontend code. We only transmit the HTML, PDF, or image data you explicitly request.

No, it treats the browser as a tool provider. You just map the tool results to your UI components as they stream in.

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