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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 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 countries on Harvard WHO Health
Returns ISO codes and country names for use with other indicator queries. Get list of WHO member countries
Get dimensions on Harvard WHO Health
Useful for understanding how to filter and disaggregate health data. Get WHO data dimensions metadata
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 health workforce on Harvard WHO Health
Supported types: "physicians", "nurses", "dentists", "pharmacists". Get health workforce density data
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 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 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 life expectancy on Harvard WHO Health
This is one of the most fundamental indicators of population health. Get life expectancy data
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 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 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 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 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 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 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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
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
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.
Automated workflows: build agents that query Harvard WHO Health, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Harvard WHO Health, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Harvard WHO Health tools and transform it with OpenAI models in a single async loop
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.
"Compare life expectancy between USA, Brazil, Japan, and Nigeria"
"Show diabetes prevalence data for India"
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Harvard WHO Health + OpenAI Agents SDK FAQ
Common questions about integrating Harvard WHO Health MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Explore More MCP Servers
View all →
Fellow
12 toolsRun better meetings with collaborative agendas, action item tracking, and AI-generated summaries that keep teams accountable.

Legito
31 toolsAutomate document lifecycle management via Legito — manage template suites, document records, and user permissions directly from any AI agent.

CrossRef
3 toolsSearch 140M+ scholarly works across all scientific disciplines — with DOI resolution, citation counts, author lookup, and full bibliographic metadata from the world's largest DOI registry.

BreezoMeter Air Quality & Pollen
2 toolsUniversal air quality intelligence — get real-time AQI, pollutants, and pollen data via AI.
