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How to Use the ECB Discovery — Universal Statistical Data Access MCP in OpenAI Agents SDK

Fetch raw European Central Bank statistics directly into your OpenAI Agents SDK production pipelines.

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OpenAI Agents SDK

Connect ECB Discovery — Universal Statistical Data Access MCP to OpenAI Agents SDK

Create your Vinkius account to connect ECB Discovery — Universal Statistical Data Access 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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Browse the ECB Catalog via MCP Server

The `list_dataflows` tool exposes the entire European Central Bank statistical catalog to your agent. It pulls the raw codes and descriptions for every available dataset, from banking supervision metrics to payment statistics. Your agent reads this index to figure out exactly which dataset holds the answers you need. You do not have to hardcode specific endpoints or guess the right identifiers before deploying your system.

Extract SDMX Series Data

The `query_ecb_data` tool accepts a dataflow code and an SDMX series key to pull specific metrics. You pass parameters like EXR and D.USD.EUR.SP00.A to get daily USD/EUR exchange rates. OpenAI agents use this to feed hard economic numbers into their reasoning loops. The built-in guardrails validate the agent's request before it ever hits the external API.

Feed Multi-Agent Handoffs

Connect the `query_ecb_data` tool to a specialized financial extraction agent. When a user asks about monetary aggregates, the router hands the task to the data specialist equipped with this MCP Server. The entire execution path shows up in your OpenAI dashboard tracing. You see exactly which SDMX keys the agent requested and the exact payload the ECB returned.

Setup guide

Set up ECB Discovery — Universal Statistical Data Access 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 ECB Discovery — Universal Statistical Data Access tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives ECB Discovery — Universal Statistical Data Access 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 ECB Discovery — Universal Statistical Data Access 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="ECB Discovery — Universal Statistical Data Access Agent",
            instructions="You have access to ECB Discovery — Universal Statistical Data Access 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 European Central Bank. 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 ECB Discovery — Universal Statistical Data Access MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance pointing to your Vinkius endpoint URL. Pass it in the mcp_servers list when you initialize your Agent.
Yes. You assign the server to a specific worker agent. The main router will delegate queries to that worker whenever a prompt requires European Central Bank statistics.
The tools return raw text parsed from the ECB SDMX responses. Your agent reads the statistical values and formats them into whatever output structure your application requires.
Set cacheToolsList=True in your server parameters. This prevents the agent from re-fetching the schemas from the MCP endpoint on every single execution.
Vinkius runs this integration in an ephemeral V8 Isolate Sandbox. The server only touches public SDMX statistical data and exchange rates. No persistent memory exists between your agent's requests.

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