ScrapingBee MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Extract Data, Extract Data With Ai, Extract Structured Data, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ScrapingBee through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The ScrapingBee app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 ScrapingBee, 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 ScrapingBee MCP Server
Connect your ScrapingBee account to any AI agent and take full control of your web data extraction and stealth scraping orchestration through natural conversation. ScrapingBee provides a robust scraping API that handles headless browsers, rotating proxies, and automated CAPTCHA solving, and this integration allows you to retrieve raw HTML, take screenshots, and use AI-driven extraction rules directly from your chat interface.
The Vercel AI SDK gives every ScrapingBee 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
- Stealth Scraper Orchestration — Retrieve raw HTML from any website while bypassing anti-bot systems and CAPTCHAs programmatically.
- JavaScript Rendering Control — Toggle headless browser rendering to extract data from modern, dynamic SPAs directly from the AI interface.
- AI-Driven Data Extraction — Use AI extraction rules to parse complex web pages into structured JSON data via natural language.
- Premium Proxy Intelligence — Access residential and premium proxies to scrape high-security websites without risk of IP blocking.
- Operational Monitoring — Track system activity and monitor API credit consumption using simple AI commands.
The ScrapingBee 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.
All 10 ScrapingBee tools available for Vercel AI SDK
When Vercel AI SDK connects to ScrapingBee through Vinkius, your AI agent gets direct access to every tool listed below — spanning scrapingbee, web-scraping, data-extraction, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Extract structured data from a page
Extract JSON data using natural language
Extract JSON data using CSS/XPath selectors
Check API credit usage
Get current API usage and remaining credits
Automatically handles JavaScript, proxies, and anti-bot measures. Scrape a webpage with full browser rendering
Scrape a page with JavaScript rendering enabled
Scrape a page using premium proxy rotation
Scrape a page with stealth mode to bypass bot detection
Handles rendering automatically. Capture a screenshot of a website
Connect ScrapingBee to Vercel AI SDK via MCP
Follow these steps to wire ScrapingBee into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the ScrapingBee MCP Server
Vercel AI SDK provides unique advantages when paired with ScrapingBee 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 ScrapingBee integration everywhere
Built-in streaming UI primitives let you display ScrapingBee 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
ScrapingBee + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ScrapingBee MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ScrapingBee in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ScrapingBee tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ScrapingBee capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ScrapingBee through natural language queries
Example Prompts for ScrapingBee in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ScrapingBee immediately.
"Extract the names and prices of all laptops from 'https://example.com/computers' using AI."
"Scrape a Google search results page for the query 'best project management tools 2025' and extract the top 10 results."
"Extract structured product data from an e-commerce product page using CSS selectors."
Troubleshooting ScrapingBee MCP Server with Vercel AI SDK
Common issues when connecting ScrapingBee to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpScrapingBee + Vercel AI SDK FAQ
Common questions about integrating ScrapingBee 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.