How to Use the Eurostat Discovery — Dataset Catalog Explorer MCP in Vercel AI SDK

Q: How do I start a query with Eurostat Discovery — Dataset Catalog Explorer and the Vercel AI SDK?

First, use searchdatasets to find the dataset's unique code. Then, pass that code to getdataset along with any filters. The SDK will stream the results directly into your UI.

Q: Can I see what filters are available for a dataset before querying?

Yes. After finding a dataset code with searchdatasets, use the getdatasetmetadata tool. It returns all available dimensions and the specific codes you can use to filter your query.

Q: What kind of data does this server actually return?

The getdataset tool returns data in the JSON-stat format. It's a structured JSON that's perfect for data visualizations and is easy to parse in your frontend application.

Q: How does Eurostat Discovery — Dataset Catalog Explorer work with Next.js Edge Functions using the Vercel AI SDK?

This MCP server is fully compatible. You instantiate the createMCPClient inside your Edge Function, call the tools, and stream the response back to the client. It's fast and keeps your Vinkius endpoint token on the server.

Stream European Union statistics directly into your Vercel AI SDK app, rendering data live without loading spinners.

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Connect Eurostat Discovery — Dataset Catalog Explorer MCP to Vercel AI SDK

Create your Vinkius account to connect Eurostat Discovery — Dataset Catalog Explorer 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 Eurostat Discovery — Dataset Catalog Explorer with Vercel AI SDK

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Find and Preview EU Datasets

Start by finding the exact dataset you need from over 7,000 options. Your AI client can use `search_datasets` with simple keywords to get back a list of relevant dataset codes and descriptions. Once you have a code, don't guess what's inside. Use `get_dataset_metadata` to see all the dimensions, like geography or time period, and the exact filter codes you can use. This way, you know exactly what data you can request before you pull it.

Stream Data Directly into Your UI

This is where the Vercel AI SDK shines. Feed the dataset code and your chosen filters to the `get_dataset` tool. The MCP server will start sending back the requested statistical data, which you can stream directly into your React or Next.js components. Your users watch charts and tables build themselves in real-time. No more staring at a blank screen. You're building a live dashboard, not a static report, powered by official EU data.

Build Data-Aware Frontends with the Vercel AI SDK

Connect your user's text input directly to the tools. Let them ask for 'unemployment in Germany' and have your agent sequence the calls: `search_datasets` to find the right code, then `get_dataset` to pull the numbers. Because the tool results stream back, you can create responsive, conversational interfaces that feel incredibly fast. This MCP gives your frontend direct access to one of the world's largest statistical databases.

Setup guide

Set up Eurostat Discovery — Dataset Catalog Explorer 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 Eurostat Discovery — Dataset Catalog Explorer 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 Eurostat Discovery — Dataset Catalog Explorer transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Eurostat. 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.

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Common questions about Eurostat Discovery — Dataset Catalog Explorer MCP in Vercel AI SDK

First, use `search_datasets` to find the dataset's unique code. Then, pass that code to `get_dataset` along with any filters. The SDK will stream the results directly into your UI.

Yes. After finding a dataset code with `search_datasets`, use the `get_dataset_metadata` tool. It returns all available dimensions and the specific codes you can use to filter your query.

The `get_dataset` tool returns data in the JSON-stat format. It's a structured JSON that's perfect for data visualizations and is easy to parse in your frontend application.

This MCP server is fully compatible. You instantiate the `createMCPClient` inside your Edge Function, call the tools, and stream the response back to the client. It's fast and keeps your Vinkius endpoint token on the server.

This server only handles public Eurostat dataset codes and the query filters you send. Your requests are processed in an ephemeral sandbox via your Vinkius endpoint token. No personal data is ever involved, just your queries for public statistics.

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