How to Use the WHO GHO MCP in OpenAI Agents SDK

Q: How do I search for global health indicators using WHO GHO and OpenAI Agents SDK?

You kick it off with the searchwhoindicators tool. Your agent just calls that function, searches through the 2,200+ available options, and gets back a list of codes you can use later.

Q: What kind of country data does WHO GHO provide with OpenAI Agents SDK?

The server provides snapshots via getwhocountryprofile using ISO-3 codes. It also gives deep, historical indicator data—like immunization coverage or disease prevalence—by year.

Q: What is the best way to use WHO GHO with OpenAI Agents SDK?

Start by using searchwhoindicators to nail down your exact indicator code. Then, pass that code along with a country code to getwhoindicatordata for the full picture.

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Connect WHO GHO MCP to OpenAI Agents SDK

Create your Vinkius account to connect WHO GHO 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 GHO with OpenAI Agents SDK

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Snapshot a country's health status.

Need a quick read on a nation? Use `get_who_country_profile` to grab a basic health snapshot for any ISO-3 country code. You just pass the code, and your agent gets back the data. This saves you from manual lookups in massive databases. It’s perfect when you need immediate context on something like India (`IND`) or Brazil (`BRA`) right now.

Check specific health indicator data.

Getting country-level stats requires `get_who_indicator_data`. This tool lets your agent pull values for a WHO indicator, breaking down the numbers by year and even separating them by sex if it's available. It’s detailed stuff. This isn't just raw data; it gives historical context. You can track changes in things like disease prevalence over several years for comparison.

Find global health indicator codes.

Before you pull specific data, your agent needs the right code. Use `search_who_indicators` to search through 2,200+ indicators from 194 countries. It's like a massive index for global health. This tool is key because it returns indicator codes that let you then run `get_who_indicator_data`. You can find anything from mortality rates to life expectancy data.

Setup guide

Set up WHO GHO 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 GHO tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives WHO GHO 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 GHO 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 GHO Agent",
            instructions="You have access to WHO GHO 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 GHO MCP in OpenAI Agents SDK

You kick it off with the `search_who_indicators` tool. Your agent just calls that function, searches through the 2,200+ available options, and gets back a list of codes you can use later.

The server provides snapshots via `get_who_country_profile` using ISO-3 codes. It also gives deep, historical indicator data—like immunization coverage or disease prevalence—by year.

This server handles global health indicators and country profiles. The specific data type is structured epidemiological and demographic statistics from the World Health Organization (WHO).

Yeah, it's pretty versatile. You can get general country profiles, track specific indicators over time (`get_who_indicator_data`), or just find the right code first (`search_who_indicators`).

Start by using `search_who_indicators` to nail down your exact indicator code. Then, pass that code along with a country code to `get_who_indicator_data` for the full picture.

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