# Harvard WHO Health MCP for AI Agents AI Agent Connect > Harvard WHO Health MCP gives your AI agent direct access to the WHO Global Health Observatory. It pulls real-time data on life expectancy, immunization rates, and infectious diseases like malaria and HIV across different countries. Use it to build evidence-based reports, track global health trends, or analyze health workforce density without manual searching. ## Overview - **Category:** data-analytics - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_DpXhv8mABRpJQOPuhEtewNRXldDpTIis5bCDF7ur/ai-agent-connect - **Tags:** global-health, health-indicators, statistics, epidemiology, population-data, policy-analysis ## Description Harvard WHO Health connects your AI client to the WHO Global Health Observatory, which is the primary source for global health statistics. This Connector lets you pull real-time data on life expectancy, immunization rates, and infectious diseases like malaria and HIV without leaving your workspace. You can ask your agent to gather data on non-communicable diseases like diabetes and obesity, or look into maternal health mortality and health workforce density. If you're doing policy analysis, you can quickly compare health expenditures across multiple nations to see where the funding actually goes. It's a much faster way to get accurate, standardized data for your research. By connecting this through Vinkius, you get a reliable pipe into one of the world's most trusted health data sources, making it a go-to for anyone who needs to move from searching for data to analyzing data as quickly as possible. Instead of spending your afternoon jumping between different country profiles and trying to find consistent numbers for things like maternal mortality or vaccine coverage, you can just ask for the specific indicators you need. The agent handles the heavy lifting of navigating the complex data dimensions, providing you with clean, structured results that you can immediately use in your reports. This replaces the tedious manual process of copy-pasting figures from various web pages into spreadsheets, ensuring that your evidence-based conclusions are built on the most current and official information available. ## Tools ### get_countries Get a list of WHO member countries and their ISO codes. Use these codes to filter other health indicator queries. ### get_hiv_aids Get the percentage of the population living with HIV. This is a key indicator for public health programs and resource allocation. ### get_dimensions See how to filter and group health data by specific categories. It helps you understand the metadata for various health indicators. ### get_health_expenditure Get per capita health spending in PPP dollars. This helps you understand how much countries spend on healthcare. ### get_health_workforce Get the density of physicians, nurses, dentists, and pharmacists. It shows the number of workers per 10,000 people. ### get_immunization Get coverage data for vaccines like DTP3, measles, and polio. You can use specific shortcuts or direct WHO codes. ### get_indicator_data Get time-series data for a specific WHO indicator. This includes country, year, values, and sex disaggregation. ### get_life_expectancy Get life expectancy at birth data for different countries. This is a fundamental indicator of population health. ### get_malaria Get malaria case estimates to track the global burden of the disease. This is essential for tracking health in sub-Saharan Africa and Southeast Asia. ### get_maternal_health Get maternal mortality ratios and reproductive health indicators. This measures deaths per 100,000 live births. ### get_mortality Get mortality data by cause, such as NCD mortality or under-5 mortality. Use specific codes to find different causes of death. ### get_ncd Get non-communicable disease data like diabetes, obesity, and hypertension. Use shortcuts or specific WHO codes for these stats. ### get_water_sanitation Get stats on safely managed drinking water, sanitation, and hygiene facilities. These are core WASH indicators for global health. ### search_indicators Search through 1,000+ WHO health indicators. This helps you find the specific indicator codes you need for your queries. ### compare_countries Compare a health indicator across a list of countries. It returns the most recent 10 years of data for each country. ### get_tuberculosis Get tuberculosis incidence data to track progress toward elimination. This tracks one of the top infectious disease killers worldwide. ## Prompt Examples **Prompt:** ``` Compare life expectancy between USA, Brazil, Japan, and Nigeria ``` **Response:** ``` I've compared the life expectancy at birth across these four countries using the latest WHO data. Here are the trends over the last decade: | Country | Life Expectancy (Recent) | 10-Year Trend | | :--- | :--- | :--- | | USA | 77.5 years | Stable | | Brazil | 76.2 years | Increasing | | Japan | 84.6 years | Stable | | Nigeria | 53.1 years | Increasing | Overall, Japan maintains the highest life expectancy, while Nigeria shows significant progress in its health indicators. ``` **Prompt:** ``` Show diabetes prevalence data for India ``` **Response:** ``` I've retrieved the latest WHO data on non-communicable diseases for India. Here is the current status for diabetes prevalence: * **Prevalence Rate:** Significant increase in adult populations over the last 5 years. * **Key Trends:** Higher incidence in urban centers compared to rural regions. * **Health Impact:** Increasing pressure on primary healthcare infrastructure. Would you like to see how this compares to other countries in the region? ``` **Prompt:** ``` Get measles immunization coverage for sub-Saharan African countries ``` **Response:** ``` I've pulled the measles immunization coverage data for several countries in sub-Saharan Africa. Here is a summary of the recent coverage percentages: * **Average Coverage:** 72% across the region. * **High Performing:** Kenya and Rwanda (above 85% coverage). * **Low Performing:** Several countries remain below 60%, highlighting a need for increased vaccine distribution. I can pull specific numbers for any individual country if you need them. ``` ## Capabilities ### Pull life expectancy data Retrieve life expectancy at birth data for different countries. ### Compare health stats across countries See 10 years of trends across multiple nations in one query. ### Retrieve immunization coverage Get coverage data for vaccines like DTP3, measles, and polio. ### Track infectious disease prevalence Get current rates for diseases like malaria, HIV, and tuberculosis. ### Analyze non-communicable diseases Pull data on diabetes, obesity, and hypertension across regions. ### Access health workforce density See the number of physicians and nurses per 10,000 people. ### View maternal health mortality Get maternal mortality ratios and reproductive health indicators. ## Use Cases ### Comparing regional health trends A researcher wants to see how life expectancy differs between 5 countries. They ask the agent to compare the data, and it uses compare_countries to show a 10-year trend. ### Tracking disease prevalence An epidemiologist needs to know the current HIV and malaria rates in a specific region. The agent pulls this from get_hiv_aids and get_malaria to create a summary. ### Policy planning and workforce analysis A policy maker needs to know if a country has enough doctors. The agent uses get_health_workforce to pull the density of physicians and nurses per 10,000 people. ### Student research on sanitation A student is writing about water safety. They ask the agent for WASH indicators, and the agent pulls data on safe water and sanitation via get_water_sanitation. ## Benefits - Stop manual data hunting by using search_indicators to find any of the 1,000+ available health metrics instantly. - Get accurate country comparisons using compare_countries to see 10 years of trends across multiple nations in one go. - Pull specific immunization coverage for dtp3, measles, or polio to track vaccine progress in specific regions. - Analyze non-communicable diseases like diabetes and obesity using get_ncd for more accurate public health modeling. - Access workforce data with get_health_workforce to see the density of nurses and physicians in any country. - Get standardized maternal mortality data with get_maternal_health to support reproductive health policy analysis. ## How It Works The bottom line is that it turns the WHO Global Health Observatory into a direct data feed for your AI agent. 1. Connect your AI client to the Harvard WHO Health MCP via Vinkius. 2. Ask your agent for specific health indicators or country comparisons. 3. Receive structured data including values, years, and confidence intervals. ## Frequently Asked Questions **What kind of health data does Harvard WHO Health provide?** It pulls from the WHO Global Health Observatory, covering things like life expectancy, immunization, and disease stats. **Can I use this to compare health stats between different countries?** Yes, you can ask the agent to compare any indicator across a list of countries to see trends over the last 10 years. **Does this include data on non-communicable diseases?** It covers a wide range of NCDs, including diabetes, obesity, and hypertension. **Can I get data on health workers?** Yes, the Connector can pull the density of physicians, nurses, dentists, and pharmacists per 10,000 people. **Is this suitable for academic research?** It's a primary source for researchers and students who need evidence-based global health indicators for papers or theses. **Does it include information on water and sanitation?** Yes, it tracks WASH indicators like safely managed drinking water and hygiene facilities. **Do I need an API key?** No. The WHO GHO API is completely free and public. No authentication required. **How many countries does WHO track?** The WHO Global Health Observatory tracks health data for all 194 Member States, plus territories and regions. Data spans from the 1990s to the present with annual updates. **What types of health data are available?** Over 1,000 indicators across mortality, morbidity, immunization, NCDs (diabetes, obesity), infectious diseases (HIV, TB, malaria), maternal health, health workforce, expenditure, water and sanitation, and more.