Browserhub MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Browserhub through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Browserhub, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Browserhub MCP Server
Connect your Browserhub.io account to any AI agent and orchestrate your web scraping, data extraction, and proxy management workflows through natural conversation.
The Vercel AI SDK gives every Browserhub tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Scraper Oversight — List all your configured scrapers and blueprints, and retrieve detailed metadata for each.
- Job Execution — Trigger scraping jobs with dynamic URL overrides and monitor their progress in real-time.
- Direct Scraping — Perform one-off URL extractions using real browsers without pre-defined scrapers.
- Data Retrieval — Retrieve structured data captured by your jobs directly into your workspace.
- Infrastructure Management — List available proxy locations and check your account credit balance.
- Task History — List and inspect all your previous scraping jobs.
The Browserhub MCP Server exposes 10 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 Browserhub to Vercel AI SDK via MCP
Follow these steps to integrate the Browserhub MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Browserhub and passes them to the LLM
Why Use Vercel AI SDK with the Browserhub MCP Server
Vercel AI SDK provides unique advantages when paired with Browserhub through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Browserhub integration everywhere
Built-in streaming UI primitives let you display Browserhub tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Browserhub + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Browserhub MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Browserhub in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Browserhub tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Browserhub capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Browserhub through natural language queries
Browserhub MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Browserhub to Vercel AI SDK via MCP:
direct_scrape
Perform a one-off URL scrape without a pre-defined scraper
get_account_balance
Check account credit balance
get_blueprint
Get details of a specific blueprint
get_scraper
Get details of a specific scraper
get_scraping_job
Get status and results of a scraping job
list_blueprints
List all scraper blueprints
list_proxy_locations
List all available proxy locations
list_scrapers
List all configured scrapers
list_scraping_jobs
List all scraping jobs
run_scraper
Start a scraping job using a specific scraper
Example Prompts for Browserhub in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Browserhub immediately.
"List all my configured scrapers in Browserhub."
"Scrape the URL https://example.com using the 'E-commerce' scraper."
"Check my Browserhub account credit balance."
Troubleshooting Browserhub MCP Server with Vercel AI SDK
Common issues when connecting Browserhub to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBrowserhub + Vercel AI SDK FAQ
Common questions about integrating Browserhub MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Browserhub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Browserhub to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.