Bring Scrapfly
to Vercel AI SDK
Learn how to connect Scrapfly to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Scrapfly API Key from your dashboard
3. Start scraping and extracting web data from Claude, Cursor, or any MCP-compatible client
No more managing browser clusters or rotating IPs. Your AI acts as a dedicated data engineer or market researcher.
Who is this for?
- Data Scientists — quickly retrieve high-fidelity datasets from the web without technical blocks.
- Market Researchers — automate the extraction of competitor pricing and sentiment data via natural conversation.
- Growth Engineers — streamline the generation of visual audits and lead metadata directly within the chat.
Built-in capabilities (12)
Extract structured data
Take a website screenshot
Check usage stats
Check account info
Get project info
Check scraping features
Check screenshot features
List configured webhooks
List AI models
Check proxy options
Verify credentials
Scrape any website
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Scrapfly integration everywhere
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Built-in streaming UI primitives let you display Scrapfly tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Scrapfly in Vercel AI SDK
Scrapfly and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Scrapfly to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Scrapfly in Vercel AI SDK
The Scrapfly 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Scrapfly for Vercel AI SDK
Every tool call from Vercel AI SDK to the Scrapfly MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically extract structured JSON from a web page using Scrapfly?
Yes! Use the ai_data_extraction tool. Provide the URL and optionally a model or prompt, and your agent will return the parsed data in structured JSON format instantly.
How do I use residential proxies to bypass anti-bot systems?
Simply ask the agent to run the web_scrape action. Scrapfly handles anti-bot (ASP) and premium proxy rotation automatically based on the site's security level.
How do I find my Scrapfly API Key?
Log in to your Scrapfly account, navigate to the Dashboard, and you will find your unique secret API key prominently displayed.
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.
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp