ScraperAPI 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 ScraperAPI 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 ScraperAPI, 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 ScraperAPI MCP Server
Connect your ScraperAPI account to any AI agent to bypass IP bans, CAPTCHAs, and complex anti-bot systems. Allow your agent to scrape the web dynamically using a pool of millions of proxies.
The Vercel AI SDK gives every ScraperAPI 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
- Render JavaScript — Command your AI to fetch data from SPAs (Single Page Applications) like React or Vue sites flawlessly
- Structured E-commerce & SEO — Extract parsed Amazon product pages via ASIN or pull Google SERP attributes in structured JSON formats directly to your chat
- Premium Unblocking — Access high-quality residential proxies automatically when dealing with ultra-secure or aggressive Cloudflare-protected targets
- Asynchronous & Visual Scraping — Spawn background scraping jobs for slow-loading pages or ask the AI to generate full-page screenshot URLs upon request
The ScraperAPI 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 ScraperAPI to Vercel AI SDK via MCP
Follow these steps to integrate the ScraperAPI 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 ScraperAPI and passes them to the LLM
Why Use Vercel AI SDK with the ScraperAPI MCP Server
Vercel AI SDK provides unique advantages when paired with ScraperAPI 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 ScraperAPI integration everywhere
Built-in streaming UI primitives let you display ScraperAPI 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
ScraperAPI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ScraperAPI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ScraperAPI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ScraperAPI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ScraperAPI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ScraperAPI through natural language queries
ScraperAPI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect ScraperAPI to Vercel AI SDK via MCP:
create_async_job
Returns a job ID. Creates an asynchronous scraping job
custom_scrape
Performs a scrape with custom ScraperAPI parameters
get_account_stats
Retrieves API usage statistics
get_async_job
Retrieves the status and result of an async job
get_screenshot_link
Generates a URL to capture a full-page screenshot
scrape_amazon
Retrieves structured Amazon product details
scrape_google_serp
Retrieves structured Google Search results
scrape_html
Automatically rotates proxies. Scrapes standard HTML from a URL
scrape_js_rendered
Scrapes a URL with JavaScript rendering enabled
scrape_premium
Scrapes a URL using high-quality residential proxies
Example Prompts for ScraperAPI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ScraperAPI immediately.
"Scrape an Amazon product page for this ASIN: B08J5F3G18 and list its price."
"Run a Google SERP check for the keyword 'best LLM orchestration frameworks'."
"Take a screenshot of https://netflix.com homepage so I can check its layout."
Troubleshooting ScraperAPI MCP Server with Vercel AI SDK
Common issues when connecting ScraperAPI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpScraperAPI + Vercel AI SDK FAQ
Common questions about integrating ScraperAPI 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 ScraperAPI 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 ScraperAPI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.