SDMX (Statistical Data and Metadata eXchange) is an international standard for exchanging statistical data. The ECB, Eurostat, IMF, World Bank, and other institutions use SDMX for their APIs. Data is organized in dataflows → dimensions → observations.

Do I need an API key to access this data?

No, the ECB Statistical Data Warehouse public API is completely open and free. There is no authentication or token required to fetch any of the datasets provided.

How often is the statistical data updated?

The data is updated in real-time according to the ECB's official publishing schedule. Daily exchange rates typically update around 16:00 CET.

ECB Discovery — Universal Statistical Data Access MCP Server for OpenAI Agents SDK 2 tools — connect in under 2 minutes

Name: ECB Discovery — Universal Statistical Data Access
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 2 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ECB Discovery — Universal Statistical Data Access through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="ECB Discovery — Universal Statistical Data Access Assistant",
            instructions=(
                "You help users interact with ECB Discovery — Universal Statistical Data Access. "
                "You have access to 2 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from ECB Discovery — Universal Statistical Data Access"
        )
        print(result.final_output)

asyncio.run(main())

ECB Discovery — Universal Statistical Data Access

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About ECB Discovery — Universal Statistical Data Access MCP Server

Universal access to all ECB data.

The OpenAI Agents SDK auto-discovers all 2 tools from ECB Discovery — Universal Statistical Data Access through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ECB Discovery — Universal Statistical Data Access, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

2 Tools

List Dataflows — Complete catalog of ECB datasets
Query Data — Any dataflow with custom SDMX keys

The ECB Discovery — Universal Statistical Data Access MCP Server exposes 2 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

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

Follow these steps to integrate the ECB Discovery — Universal Statistical Data Access MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 2 tools from ECB Discovery — Universal Statistical Data Access

Why Use OpenAI Agents SDK with the ECB Discovery — Universal Statistical Data Access MCP Server

OpenAI Agents SDK provides unique advantages when paired with ECB Discovery — Universal Statistical Data Access through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

ECB Discovery — Universal Statistical Data Access + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the ECB Discovery — Universal Statistical Data Access MCP Server delivers measurable value.

Automated workflows: build agents that query ECB Discovery — Universal Statistical Data Access, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries ECB Discovery — Universal Statistical Data Access, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through ECB Discovery — Universal Statistical Data Access tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query ECB Discovery — Universal Statistical Data Access to resolve tickets, look up records, and update statuses without human intervention

ECB Discovery — Universal Statistical Data Access MCP Tools for OpenAI Agents SDK (2)

These 2 tools become available when you connect ECB Discovery — Universal Statistical Data Access to OpenAI Agents SDK via MCP:

list_dataflows

Each dataflow has a code (e.g., EXR, FM, BSI) and description. Use these codes with the generic query tool to access any ECB data. List all available ECB statistical dataflows

query_ecb_data

Provide the dataflow code (EXR, FM, BSI, YC, MIR, BKN, etc.) and a SDMX series key. Use list_dataflows to find dataflow codes. Example: dataflow=EXR, key=D.USD.EUR.SP00.A for daily USD/EUR rate. Query any ECB dataset with a SDMX series key — universal access

Example Prompts for ECB Discovery — Universal Statistical Data Access in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ECB Discovery — Universal Statistical Data Access immediately.

"What ECB datasets are available?"

"Query the Balance Sheet Items (BSI) dataset."

"Extract the latest MFI Interest Rates."

Troubleshooting ECB Discovery — Universal Statistical Data Access MCP Server with OpenAI Agents SDK

Common issues when connecting ECB Discovery — Universal Statistical Data Access to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ECB Discovery — Universal Statistical Data Access + OpenAI Agents SDK FAQ

Common questions about integrating ECB Discovery — Universal Statistical Data Access MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.