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ScrapingAnt MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Extract Structured Data, Get Api Usage, Scrape Extended Data, and more

Built by Vinkius GDPR 5 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ScrapingAnt 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 ScrapingAnt app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 5 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 ScrapingAnt, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
ScrapingAnt
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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 ScrapingAnt MCP Server

Connect your ScrapingAnt account to any AI agent and take full control of your web data extraction and scraping orchestration through natural conversation. ScrapingAnt provides a high-performance scraping API with rotating proxies and headless browser rendering, and this integration allows you to retrieve raw HTML, convert pages to Markdown, and use AI-driven data extraction directly from your chat interface.

The Vercel AI SDK gives every ScrapingAnt tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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 or extended page metadata while bypassing anti-bot systems and CAPTCHAs programmatically.
  • Markdown Intelligence — Extract web page content and automatically transform it into clean Markdown format directly from the AI interface.
  • AI-Driven Data Extraction — Use AI models to extract structured data from any website by providing a simple prompt or schema via natural language.
  • Browser & Proxy Control — Configure headless browser settings and proxy types (datacenter or residential) to optimize your scraping success rate.
  • Operational Monitoring — Track API credit usage and monitor system statistics using simple AI commands.

The ScrapingAnt MCP Server exposes 5 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 5 ScrapingAnt tools available for Vercel AI SDK

When Vercel AI SDK connects to ScrapingAnt through Vinkius, your AI agent gets direct access to every tool listed below — spanning scrapingant, 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

Extract JSON data using AI

get_api_usage

Check API credit usage

scrape_extended_data

Scrape webpage with network logs and cookies

scrape_to_markdown

Ideal for RAG and LLMs. Scrape webpage directly to Markdown

scrape_webpage

Handles JavaScript, anti-bot, and proxies automatically. Scrape a webpage with browser rendering

Connect ScrapingAnt to Vercel AI SDK via MCP

Follow these steps to wire ScrapingAnt into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 5 tools from ScrapingAnt and passes them to the LLM

Why Use Vercel AI SDK with the ScrapingAnt MCP Server

Vercel AI SDK provides unique advantages when paired with ScrapingAnt 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 ScrapingAnt integration everywhere

03

Built-in streaming UI primitives let you display ScrapingAnt 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

ScrapingAnt + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ScrapingAnt in Vercel AI SDK

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

01

"Extract the latest product prices from 'https://example.com/shop' using AI."

02

"Convert the page 'https://example.com/blog/post-1' to Markdown."

03

"Check my current API credit balance in ScrapingAnt."

Troubleshooting ScrapingAnt MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ScrapingAnt + Vercel AI SDK FAQ

Common questions about integrating ScrapingAnt 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.