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Scrapfly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Ai Data Extraction, Capture Screenshot, Check Credit Usage, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Scrapfly 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 Scrapfly app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 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 Scrapfly, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Scrapfly
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Scrapfly MCP Server

Connect your Scrapfly account to any AI agent and take full control of your web data extraction and scraping orchestration through natural conversation. Scrapfly provides a professional-grade scraping API that combines headless browser rendering, premium residential proxies, and AI-driven data extraction, and this integration allows you to retrieve raw HTML, take element-level screenshots, and convert pages into structured JSON directly from your chat interface.

The Vercel AI SDK gives every Scrapfly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 clean HTML from any website while bypassing Cloudflare, Akamai, and other anti-bot systems programmatically.
  • AI-Driven Data Extraction — Use LLM-powered extraction models to transform complex web pages into structured JSON data directly from the AI interface.
  • Visual Intelligence — Capture full-page or element-specific screenshots with support for dark mode and ad-blocking via natural language.
  • Proxy & Region Control — Access millions of residential proxies across 50+ countries to ensure your data collection is always localized and reliable.
  • Operational Monitoring — Track system activity, monitor API credit consumption, and manage project metadata using simple AI commands.

The Scrapfly MCP Server exposes 12 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 12 Scrapfly tools available for Vercel AI SDK

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

ai_data_extraction

Extract structured data

capture_screenshot

Take a website screenshot

check_credit_usage

Check usage stats

get_api_status

Check account info

get_project_details

Get project info

get_scraping_capabilities

Check scraping features

get_screenshot_capabilities

Check screenshot features

list_api_webhooks

List configured webhooks

list_extraction_models

List AI models

list_proxy_regions

Check proxy options

test_scrapfly_auth

Verify credentials

web_scrape

Scrape any website

Connect Scrapfly to Vercel AI SDK via MCP

Follow these steps to wire Scrapfly 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 12 tools from Scrapfly and passes them to the LLM

Why Use Vercel AI SDK with the Scrapfly MCP Server

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

03

Built-in streaming UI primitives let you display Scrapfly 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

Scrapfly + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Scrapfly in Vercel AI SDK

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

01

"Scrape the homepage of 'https://news.ycombinator.com' and return the HTML."

02

"Scrape the product listings from the first 3 pages of an e-commerce category with pricing data."

03

"Take a full-page screenshot of our competitor's pricing page and extract the plan details."

Troubleshooting Scrapfly MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Scrapfly + Vercel AI SDK FAQ

Common questions about integrating Scrapfly 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.