Oxylabs 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 Oxylabs 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 MCP SERVER
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 Oxylabs, 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 Oxylabs MCP Server
Give your AI agent the ability to extract structured data from any website with Oxylabs Web Scraping API. Scrape Google, Amazon, Bing, and Yandex with specialized parsers, or hit any arbitrary URL with the universal scraper — with optional headless browser rendering.
The Vercel AI SDK gives every Oxylabs 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
- Universal Scraper — Extract HTML from any website. Enable JS rendering for single-page apps that require client-side execution
- Google Search — Parse Google SERPs with organic rankings, knowledge panels, ads, and featured snippets, localized by country TLD
- Google Shopping — Extract product listings with merchants, prices, reviews, and availability from Google Shopping
- Google Images — Pull image URLs, dimensions, and hosting origins from Google Image Search
- Google News — Extract time-indexed news articles with publishers and publication dates
- Amazon Search — Scrape Amazon product listings with ASINs, prices, Prime markers, and seller data across regional domains
- Amazon Product — Deep-extract individual product pages with variations, stock states, bullet points, and vendor hierarchies
- Bing Search — Parse Bing SERPs with organic web graph snippets
- Yandex Search — Extract rankings from the Yandex search engine for CIS/RU market analysis
- Custom Payload — Send fully customized Oxylabs schema payloads for advanced proxy and location configurations
The Oxylabs 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 Oxylabs to Vercel AI SDK via MCP
Follow these steps to integrate the Oxylabs 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 Oxylabs and passes them to the LLM
Why Use Vercel AI SDK with the Oxylabs MCP Server
Vercel AI SDK provides unique advantages when paired with Oxylabs 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 Oxylabs integration everywhere
Built-in streaming UI primitives let you display Oxylabs 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
Oxylabs + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Oxylabs MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Oxylabs in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Oxylabs tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Oxylabs capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Oxylabs through natural language queries
Oxylabs MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Oxylabs to Vercel AI SDK via MCP:
scrape_amazon_product
Extract deep E-Commerce retail arrays extracting arbitrary Amazon ASINs
scrape_amazon_search
Perform structured data extraction looping over Amazon query listings
scrape_bing_serp
Calculate and extract structured Bing Search Web mappings
scrape_custom_payload
oxylabs.io/v1/queries` customizing Proxy Types, Locations and deeply nested config params. Dispatch entirely arbitrary strict Oxylabs Payload JSON structures
scrape_google_images
Parse and Scrape specific Google Image Search layout blocks
scrape_google_news
Export time-indexed News articles via Google News blocks
scrape_google_serp
Extract Google Search Engine Results Page (SERP) blocks structurally
scrape_google_shopping
Extract E-Commerce structures hitting Google Shopping engines
scrape_universal
oxylabs.io/v1/queries` endpoint mapping `source=universal`. Dynamically extracts raw remote HTML safely avoiding proxy blocks. Use `js_render=true` explicitly if the target SPA strictly requires client rendering. Scrape any arbitrary HTML website using Oxylabs Universal Scraper API
scrape_yandex_serp
Execute structural analysis indexing Yandex Search instances
Example Prompts for Oxylabs in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Oxylabs immediately.
"Search Google for 'best noise cancelling headphones 2024' and show me the top 5 organic results."
"Get the full product details for Amazon ASIN B0C8PSXB2M."
"Scrape the homepage of techcrunch.com with JavaScript rendering enabled."
Troubleshooting Oxylabs MCP Server with Vercel AI SDK
Common issues when connecting Oxylabs to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOxylabs + Vercel AI SDK FAQ
Common questions about integrating Oxylabs 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 Oxylabs 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 Oxylabs to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.