How to Use the WHO Athena API MCP in OpenAI Agents SDK

Q: What if I need to check connectivity?

Just run checkapistatus. This tool confirms whether the WHO GHO Athena service is up and running. It's a quick status check that prevents your agent from failing on connection issues.

Q: Can I see what data dimensions are available?

Yes, you call listhealthdimensions. This function shows all the observation axes—like country or year—that accompany the health indicators. It’s how your agent maps out its search scope.

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Connect WHO Athena API MCP to OpenAI Agents SDK

Create your Vinkius account to connect WHO Athena API 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 WHO Athena API with OpenAI Agents SDK

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Find all available WHO indicators.

The `list_health_indicators` tool gives you a complete catalog of every indicator in the WHO GHO database. This lets your agent figure out exactly what data points exist before running any queries. You don't have to guess at codes. You just call this function, and it hands back an array containing all available indicators for you to use.

Define observation dimensions.

Need to scope your search? Use `list_health_dimensions` to see every possible way the data can be sliced. This includes dimensions like country and year, so your agent knows exactly what parameters it needs. This tool gives you control over granularity. You're not just getting raw numbers; you're defining the boundaries of the analysis.

Retrieve specific health data sets.

The `get_health_indicator_data` tool executes the core request, pulling actual data for a specific indicator code. It takes the necessary dimension parameters—the country and year—to run the query. Your agent runs this function, gets the resulting time series or single data point, and can then use its built-in guardrails to process it safely.

Setup guide

Set up WHO Athena API 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 WHO Athena API tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives WHO Athena API tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate WHO Athena API 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="WHO Athena API Agent",
            instructions="You have access to WHO Athena API 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 WHO Athena API MCP in OpenAI Agents SDK

Your AI client uses the OpenAPI Agent's auto-discovery features. When you pass the MCP Server, your agent automatically sees all available tools like `list_health_indicators` and knows how to call them correctly.

Just run `check_api_status`. This tool confirms whether the WHO GHO Athena service is up and running. It's a quick status check that prevents your agent from failing on connection issues.

Yes, you call `list_health_dimensions`. This function shows all the observation axes—like country or year—that accompany the health indicators. It’s how your agent maps out its search scope.

Absolutely. Since you're running a production system, the agent uses built-in guardrails that validate every action before execution. This keeps your data calls structured and safe.

The server touches global health indicator data. When using the OpenAI Agents SDK, all actions are traceable via the dashboard, giving you a full audit trail for compliance.

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