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Vinkius

Browserless MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Browserless through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Browserless, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Browserless MCP Server

Connect your Browserless.io account to any AI agent and orchestrate your headless Chrome operations, web automation, and document generation through natural conversation.

The Vercel AI SDK gives every Browserless tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Visual Captures — Take high-quality screenshots of any URL with advanced options like full-page capture.
  • Document Generation — Convert any web page into a polished PDF document directly from your workspace.
  • Rendered Content — Retrieve the fully rendered HTML content of JavaScript-heavy websites.
  • Custom Scraping — Run targeted scraping requests by providing element selectors to extract specific data.
  • Infrastructure Monitoring — Monitor active sessions, retrieve usage statistics, and check the health of the Browserless service.
  • Configuration Access — Access and verify your account configuration and limits using natural language.

The Browserless MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Browserless to Vercel AI SDK via MCP

Follow these steps to integrate the Browserless MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 8 tools from Browserless and passes them to the LLM

Why Use Vercel AI SDK with the Browserless MCP Server

Vercel AI SDK provides unique advantages when paired with Browserless through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Browserless integration everywhere

03

Built-in streaming UI primitives let you display Browserless tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Browserless + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Browserless MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Browserless in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Browserless tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Browserless capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Browserless through natural language queries

Browserless MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Browserless to Vercel AI SDK via MCP:

01

check_system_health

Check the health of the Browserless service

02

generate_pdf

Generate a PDF of a URL

03

get_account_config

Retrieve account configuration

04

get_page_content

Retrieve the rendered HTML content of a URL

05

get_usage_stats

Retrieve account usage statistics

06

list_active_sessions

List currently active browser sessions

07

run_scrape

Run a custom scraping script

08

take_screenshot

Take a screenshot of a URL using headless Chrome

Example Prompts for Browserless in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Browserless immediately.

01

"Take a full-page screenshot of https://news.ycombinator.com."

02

"Generate a PDF of the article at https://example.com/blog/post-1."

03

"Scrape the titles of all products on https://example.com/shop."

Troubleshooting Browserless MCP Server with Vercel AI SDK

Common issues when connecting Browserless to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Browserless + Vercel AI SDK FAQ

Common questions about integrating Browserless MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Browserless to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.