Spider MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Spider 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 Spider, 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 Spider MCP Server
Connect your AI agent to Spider.cloud — the fastest web scraping API in the market, built in Rust for maximum performance.
The Vercel AI SDK gives every Spider tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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
- Scrape Pages — Extract content from any URL as Markdown, HTML, or plain text. Spider handles JavaScript rendering, anti-bot protection, and proxy rotation
- Crawl Sites — Recursively crawl entire websites at speeds exceeding 100K pages/second. Follow internal links and extract structured data at scale
- Search & Scrape — Search the web and scrape results in a single API call. Combines discovery with extraction for maximum efficiency
Why Spider over alternatives?
- 10-20x faster than Firecrawl for large crawls (Rust engine vs Node.js)
- Lower cost per page at high volume
- Built-in stealth mode with fingerprint rotation and residential proxies
The Spider MCP Server exposes 3 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 Spider to Vercel AI SDK via MCP
Follow these steps to integrate the Spider 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 3 tools from Spider and passes them to the LLM
Why Use Vercel AI SDK with the Spider MCP Server
Vercel AI SDK provides unique advantages when paired with Spider 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 Spider integration everywhere
Built-in streaming UI primitives let you display Spider 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
Spider + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Spider MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Spider in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Spider tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Spider capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Spider through natural language queries
Spider MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect Spider to Vercel AI SDK via MCP:
spider_crawl
Spider.cloud Rust engine follows internal links and scrapes each page. Configure depth and page limits to control scope. Crawl an entire website at blazing speed — up to 100K+ pages/second. Returns content from multiple pages following internal links
spider_scrape
cloud Rust-powered engine to scrape a single URL. Handles JavaScript rendering, anti-bot protection, and proxy rotation automatically. Supports multiple output formats: markdown (default), html, text. Scrape a single web page at high speed using Spider.cloud. Returns clean content in Markdown, HTML, or plain text format
spider_search
Combines search + scrape in one API call for maximum efficiency. Search the web and scrape results in a single high-performance request via Spider.cloud
Example Prompts for Spider in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Spider immediately.
"Scrape the homepage of spider.cloud and show me what they offer."
"Crawl docs.python.org and get the first 5 pages."
"Search for 'machine learning frameworks comparison 2026' and scrape the top 3 results."
Troubleshooting Spider MCP Server with Vercel AI SDK
Common issues when connecting Spider to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSpider + Vercel AI SDK FAQ
Common questions about integrating Spider 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 Spider 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 Spider to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.