WHO GHO MCP. Analyze Global Health Indicators Across Nations

You connect your AI agent straight up to the World Health Organization’s Global Health Observatory (WHO GHO). This isn't just another data dump; it gives you direct access to standardized health records covering all 194 member states. You can pull historical time-series data, nail down specific disease indicators from a catalog of over 2,200 metrics, and instantly generate detailed health profiles for any country.

To start, you've got the search_who_indicators tool. If you don’t know the exact code for what you need—say, malaria incidence rates or even just water quality scores—you run this search first. It lets you query the entire 2,200+ catalog and pinpoint the precise WHO code and name you're looking for.

You get that foundational piece of data right away.

Once you have a country and the indicator code, you can dive deep using get_who_indicator_data. This tool pulls specific historical values for any selected global health metric within your specified nation. It doesn't just give you one number; it gives you year-by-year trends. You can even get sex breakdowns for those time series if the data supports it, which is huge when you’re comparing mortality rates or immunization coverage between male and female populations over decades.

For a quick overview of any nation, use get_who_country_profile. This function gives you a high-level health snapshot using just the country's ISO-3 code. You get key indicators like life expectancy and obesity prevalence right out of the gate without needing to search for multiple codes first. It’s your quick reference point.

You don't have to manually call separate APIs or sift through complex data sheets. Your agent handles it all. Need to compare how life expectancy shifted in Brazil versus Japan over thirty years? You use get_who_indicator_data with the relevant code and both countries. Wanna know a general health summary for Nigeria right now? The get_who_country_profile tool gives you that immediate profile, covering things like under-5 mortality.

The whole process is designed to keep your agent focused on analysis. You use search_who_indicators to nail down the metric's code; then you feed that code and a country into either get_who_indicator_data for time trends or get_who_country_profile for a current snapshot. It’s how you build sophisticated global health reports without writing any complex data fetching scripts yourself.

This server handles the heavy lifting of connecting your AI client to structured, longitudinal public health records, meaning you're always working with standardized metrics from WHO. You get access to life expectancy, maternal mortality ratios, HIV prevalence rates, and countless other indicators across every major global population center. It’s all right there for you to query.