How to Use the Microlink MCP in Vercel AI SDK

Q: How do I connect Microlink to my Vercel AI SDK project?

Install the SDK and the MCP client package via npm. Use createMCPClient with your endpoint to expose tools like advancedquery directly to your agents.

Q: How do I handle tool authentication for Microlink in Vercel AI SDK?

Pass your credentials through the authProvider in your MCP client configuration. This keeps your keys out of the client-side code.

Q: What happens to my URL data privacy in Vercel AI SDK?

Microlink only processes the specific URLs you send for takescreenshot or other operations. We don't store your session data or site content after the request completes.

Turn websites into live data streams for your Vercel AI SDK apps. Extract, capture, and audit URLs without leaving your code.

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…and any MCP-compatible client

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Connect Microlink MCP to Vercel AI SDK

Create your Vinkius account to connect Microlink to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Microlink with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time data extraction

Your Vercel AI SDK app needs structured data from the web. Use `extract_metadata` to grab site info and push it straight into your UI components. Stop waiting for server-side round trips. Because this MCP Server streams results, your React or Next.js frontend renders the data the moment it arrives.

Instant visual feedback

Generate PDFs or capture screens directly within your workflow. Call `take_screenshot` or `generate_pdf` to create assets that your users see immediately. This keeps your Edge Functions fast and your user interface snappy. You aren't just fetching data; you're building a live browser experience.

Performance auditing for AI

Run `get_insights` to identify tech stacks and performance bottlenecks on any target URL. Feed these metrics into your AI client to generate site optimization reports. It handles the heavy lifting of browser automation. You simply define the target and let the agent return the analysis.

Setup guide

Set up Microlink MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Microlink tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Microlink transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Microlink. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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Common questions about Microlink MCP in Vercel AI SDK

Install the SDK and the MCP client package via npm. Use `createMCPClient` with your endpoint to expose tools like `advanced_query` directly to your agents.

Yes. Since the server uses the standard protocol, results from `extract_metadata` and other tools stream naturally into your `streamText` calls.

Absolutely. The server is lightweight and compatible with Edge runtime environments, ensuring your agents stay fast and responsive.

Pass your credentials through the `authProvider` in your MCP client configuration. This keeps your keys out of the client-side code.

Microlink only processes the specific URLs you send for `take_screenshot` or other operations. We don't store your session data or site content after the request completes.

Use it with your favorite AI tools

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