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How to Use the Eurostat Economy — EU Financial Intelligence MCP in OpenAI Agents SDK

Build production-ready economic agents with the OpenAI Agents SDK and official Eurostat financial data.

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OpenAI Agents SDK

Connect Eurostat Economy — EU Financial Intelligence MCP to OpenAI Agents SDK

Create your Vinkius account to connect Eurostat Economy — EU Financial Intelligence 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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OpenAI Agents SDK MCP Server Setup

You connect to the Eurostat data pipeline using the `get_economic_dataset` tool directly inside your agent constructor. The SDK auto-discovers the schema, exposing EU financial metrics to your production environment without writing custom HTTP wrappers. Pass the server endpoint via `MCPServerStreamableHttp` and let the framework handle the rest. Once connected, your agent can pull exact Maastricht criteria figures using `get_government_debt`. If a user asks for a risk assessment on Italian bonds, the agent pulls the real deficit numbers and runs them through OpenAI's guardrails before returning an answer. You get full tracing on every data fetch.

Traceable Macroeconomic Analysis

Agents need reliable inputs to evaluate ECB policy shifts, which is exactly why the `get_inflation` tool matters here. Your agent fetches the Harmonized Index of Consumer Prices (HICP) and cross-references it against short-term yields from `get_interest_rates`. Every tool call logs straight to your OpenAI dashboard. You do not have to guess if the agent hallucinated the inflation rate. The SDK records the exact JSON payload returned by Eurostat. You can set up a specialized macro agent to monitor these specific feeds, then hand off the raw data to a reporting agent to draft the final brief.

Real-Time Currency and Growth Tracking

The `get_exchange_rates` tool feeds daily EUR bilateral rates straight into your agent's context window. When combined with quarterly output data from `get_gdp`, your system can evaluate how currency fluctuations impact export-heavy member states like Germany. You control the agent's behavior through strict safety constraints. If the agent tries to pull an invalid country code or an unsupported dataset, the SDK catches the error before it breaks the chain. Set `cacheToolsList=True` to keep the tool discovery fast across multiple agent invocations.

Setup guide

Set up Eurostat Economy — EU Financial Intelligence 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. 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. 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 Economy — EU Financial Intelligence tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Eurostat Economy — EU Financial Intelligence tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Eurostat Economy — EU Financial Intelligence 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 Economy — EU Financial Intelligence Agent",
            instructions="You have access to Eurostat Economy — EU Financial Intelligence tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Economy — EU Financial Intelligence MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Initialize `MCPServerStreamableHttp` with your Vinkius endpoint URL and pass it into the `mcp_servers` list in your Agent constructor.
Yes. Set `cacheToolsList=True` when configuring the MCP connection. This prevents the agent from re-fetching the tool schemas for GDP and inflation every time it spins up.
It works perfectly. You can build one agent dedicated to pulling debt ratios with the government debt tool, and hand that data off to a separate risk-analysis agent.
You likely missed a required filter like the COICOP category or the specific country code. Check your OpenAI tracing dashboard to see the exact payload the agent sent to the MCP Server.
This MCP Server only reads public EU economic indicators like quarterly GDP and sovereign debt ratios. Your connection runs through an isolated V8 sandbox, meaning no request data persists after the agent finishes its run.

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