URL Metadata Scraper MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Scrape Url
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect URL Metadata Scraper 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 for Vercel AI SDK
The URL Metadata Scraper MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 URL Metadata Scraper, 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 URL Metadata Scraper MCP Server
When an AI Agent needs to summarize a link for a social media post, loading the entire HTML into the context window is slow, expensive, and leads to hallucinations. This MCP solves that by natively fetching only the OpenGraph and SEO tags.
The Vercel AI SDK gives every URL Metadata Scraper tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Superpowers
- Token Optimization: Uses Cheerio to parse HTML instantly in the Edge runtime, returning only the 4 fields you care about.
- Social Ready: Perfect for agents building marketing dashboards or Twitter threads.
The URL Metadata Scraper MCP Server exposes 1 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 URL Metadata Scraper tools available for Vercel AI SDK
When Vercel AI SDK connects to URL Metadata Scraper through Vinkius, your AI agent gets direct access to every tool listed below — spanning opengraph, metadata-extraction, seo-optimization, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Scrape url on URL Metadata Scraper
Pass the full URL and receive structured metadata without loading a headless browser. Useful for link previews, SEO audits, and social sharing validation. Extracts OpenGraph and SEO metadata (Title, Description, Image) from a URL instantly without loading a full headless browser
Connect URL Metadata Scraper to Vercel AI SDK via MCP
Follow these steps to wire URL Metadata Scraper into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the URL Metadata Scraper MCP Server
Vercel AI SDK provides unique advantages when paired with URL Metadata Scraper 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 URL Metadata Scraper integration everywhere
Built-in streaming UI primitives let you display URL Metadata Scraper 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
URL Metadata Scraper + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the URL Metadata Scraper MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query URL Metadata Scraper in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate URL Metadata Scraper tools and return structured JSON responses to any frontend
Chatbots with tool use: embed URL Metadata Scraper capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with URL Metadata Scraper through natural language queries
Example Prompts for URL Metadata Scraper in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with URL Metadata Scraper immediately.
"Extract the OpenGraph metadata from `https://vinkius.com`."
"Get the main image for this news article so I can post it on Twitter."
"Check the SEO description for this landing page URL."
Troubleshooting URL Metadata Scraper MCP Server with Vercel AI SDK
Common issues when connecting URL Metadata Scraper to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpURL Metadata Scraper + Vercel AI SDK FAQ
Common questions about integrating URL Metadata Scraper 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.Explore More MCP Servers
View all →
Lambda Labs (GPU Cloud)
7 toolsManage AI infrastructure via Lambda Labs — launch GPU instances, monitor ML workloads, and manage SSH keys.
DOD Contracts (FPDS)
1 toolsSearch and analyze Department of Defense (DOD) and federal contracts via the FPDS Atom Feed directly from your AI agent.
Qdrant
7 toolsEmpower your AI to interact directly with your Qdrant vector database — query clusters, perform similarity searches, and manage collections effortlessly.
Webflow Alternative
19 toolsManage Webflow sites, CMS collections, pages, and assets directly from your AI agent.