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Harvard WHO Health MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 16 tools to Compare Countries, Get Countries, Get Dimensions, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Harvard WHO Health through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Harvard WHO Health MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="Harvard WHO Health Assistant",
            instructions=(
                "You help users interact with Harvard WHO Health. "
                "You have access to 16 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Harvard WHO Health"
        )
        print(result.final_output)

asyncio.run(main())
Harvard WHO Health
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Harvard WHO Health MCP Server

Connect to the WHO Global Health Observatory (GHO) API — the world's most comprehensive source of global health statistics.

The OpenAI Agents SDK auto-discovers all 16 tools from Harvard WHO Health through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Harvard WHO Health, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Health Indicators — Search 1000+ indicators across all health domains
  • Life Expectancy — Track life expectancy at birth by country
  • Immunization — DTP3, measles, polio, BCG, and hepatitis B coverage
  • Infectious Diseases — HIV/AIDS prevalence, TB incidence, malaria estimates
  • NCDs — Diabetes, obesity, hypertension, tobacco, and alcohol data
  • Maternal Health — Maternal mortality ratios and reproductive health
  • Health Workforce — Physicians, nurses, dentists, pharmacists per 10,000 pop.
  • Health Expenditure — Per capita spending in PPP dollars
  • Water & Sanitation — WASH indicators for safe water and sanitation
  • Country Comparison — Compare any indicator across multiple countries

The Harvard WHO Health MCP Server exposes 16 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Harvard WHO Health tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Harvard WHO Health through Vinkius, your AI agent gets direct access to every tool listed below — spanning global-health, health-indicators, statistics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

compare

Compare countries on Harvard WHO Health

Provide a comma-separated list of ISO 3-letter country codes. Returns the most recent 10 years of data for each country. Compare a health indicator across countries

get

Get countries on Harvard WHO Health

Returns ISO codes and country names for use with other indicator queries. Get list of WHO member countries

get

Get dimensions on Harvard WHO Health

Useful for understanding how to filter and disaggregate health data. Get WHO data dimensions metadata

get

Get health expenditure on Harvard WHO Health

This indicator measures how much each country spends on healthcare, adjusted for purchasing power. Get health expenditure data

get

Get health workforce on Harvard WHO Health

Supported types: "physicians", "nurses", "dentists", "pharmacists". Get health workforce density data

get

Get hiv aids on Harvard WHO Health

Tracks the percentage of the population living with HIV, a critical indicator for public health programs and resource allocation. Get HIV/AIDS prevalence data

get

Get immunization on Harvard WHO Health

Supported shortcuts: "dtp3" (diphtheria-tetanus-pertussis), "measles", "polio", "bcg", "hepb3". Or use a WHO indicator code directly. Get immunization coverage data

get

Get indicator data on Harvard WHO Health

g. "USA", "BRA", "GBR", "CHN", "IND"). Returns country, year, value, confidence intervals, and sex disaggregation. Get time-series data for a WHO indicator

get

Get life expectancy on Harvard WHO Health

This is one of the most fundamental indicators of population health. Get life expectancy data

get

Get malaria on Harvard WHO Health

Essential for tracking the global burden of malaria, particularly in sub-Saharan Africa and Southeast Asia. Get malaria case estimates

get

Get maternal health on Harvard WHO Health

This measures the number of maternal deaths per 100,000 live births, a critical indicator of reproductive health and healthcare quality. Get maternal mortality data

get

Get mortality on Harvard WHO Health

Common indicator codes: "NCDMORT3070" (NCD mortality), "CHILDMORTALITY" (under-5), "MATERNALMORTALITY". Use search_indicators to find specific codes. Get mortality data by cause

get

Get ncd on Harvard WHO Health

Supported shortcuts: "diabetes" (prevalence), "obesity" (BMI ≥30), "blood_pressure" (hypertension), "tobacco" (smoking), "alcohol" (consumption). Or use a WHO code. Get non-communicable disease data

get

Get tuberculosis on Harvard WHO Health

TB remains one of the top infectious disease killers worldwide, and this data tracks progress toward elimination. Get tuberculosis incidence data

get

Get water sanitation on Harvard WHO Health

Supported types: "water" (safely managed drinking water), "sanitation" (safely managed sanitation), "hygiene" (basic hygiene facilities). Get water and sanitation data

search

Search indicators on Harvard WHO Health

Returns indicator codes and names. Use the indicator code with get_indicator_data to retrieve time-series data. Search 1000+ WHO health indicators

Connect Harvard WHO Health to OpenAI Agents SDK via MCP

Follow these steps to wire Harvard WHO Health into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 16 tools from Harvard WHO Health

Why Use OpenAI Agents SDK with the Harvard WHO Health MCP Server

OpenAI Agents SDK provides unique advantages when paired with Harvard WHO Health through the Model Context Protocol.

01

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

02

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

03

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

04

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

Harvard WHO Health + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Harvard WHO Health MCP Server delivers measurable value.

01

Automated workflows: build agents that query Harvard WHO Health, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Harvard WHO Health, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Harvard WHO Health tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Harvard WHO Health to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Harvard WHO Health in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Harvard WHO Health immediately.

01

"Compare life expectancy between USA, Brazil, Japan, and Nigeria"

02

"Show diabetes prevalence data for India"

03

"Get measles immunization coverage for sub-Saharan African countries"

Troubleshooting Harvard WHO Health MCP Server with OpenAI Agents SDK

Common issues when connecting Harvard WHO Health to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Harvard WHO Health + OpenAI Agents SDK FAQ

Common questions about integrating Harvard WHO Health MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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