How to Use the Eurostat Discovery — Dataset Catalog Explorer MCP in OpenAI Agents SDK

Q: Can I filter data using Eurostat Discovery — Dataset Catalog Explorer within OpenAI Agents SDK?

Yes, pass the required dimension codes to getdataset. Always run getdatasetmetadata first to confirm which filters are available for that specific dataset.

Query 7,000+ EU datasets directly within your OpenAI Agents SDK workflow. Get precise, validated statistics without leaving your code.

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Connect Eurostat Discovery — Dataset Catalog Explorer MCP to OpenAI Agents SDK

Create your Vinkius account to connect Eurostat Discovery — Dataset Catalog Explorer to OpenAI Agents 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 OpenAI Agents SDK

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Find datasets with OpenAI Agents SDK

Stop guessing dataset codes. Use `search_datasets` to query the official catalog by keyword and get the exact identifier you need for your research. Your agent parses these results instantly. It maps your natural language request to the correct dataset code, bypassing manual browsing of the Eurostat site.

Inspect dimensions with OpenAI Agents SDK

Call `get_dataset_metadata` to see every dimension, code list, and frequency available for a specific dataset. This keeps your agent from hallucinating invalid filters. It exposes the raw structure of the data before you pull it. You get a clear view of how to construct your queries, ensuring the agent requests valid time periods and geographic codes.

Query statistics with OpenAI Agents SDK

Run `get_dataset` to pull the actual figures into your agent's context. You provide the dataset code and your filters, and the server returns the requested numbers. Your agent handles the response directly. It integrates the statistical output into your existing pipeline, allowing for immediate analysis or reporting without intermediate formatting steps.

Setup guide

Set up Eurostat Discovery — Dataset Catalog Explorer MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Eurostat Discovery — Dataset Catalog Explorer tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Eurostat Discovery — Dataset Catalog Explorer tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Eurostat Discovery — Dataset Catalog Explorer tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Eurostat Discovery — Dataset Catalog Explorer Agent",
            instructions="You have access to Eurostat Discovery — Dataset Catalog Explorer tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Eurostat Discovery — Dataset Catalog Explorer MCP in OpenAI Agents SDK

Register the server endpoint in your agent configuration. Once connected, your agent calls `search_datasets` to identify the correct codes for your specific query.

Yes, pass the required dimension codes to `get_dataset`. Always run `get_dataset_metadata` first to confirm which filters are available for that specific dataset.

The server returns targeted results quickly. By using metadata to verify your query structure beforehand, you avoid pulling large, irrelevant datasets that consume memory.

Check the tool output for invalid codes. If a query fails, use the metadata tool to re-verify the dimension names and available values.

Your queries to this MCP server contain only public Eurostat dataset codes and filter parameters. No proprietary data is shared or stored by the catalog explorer.

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