World Bank Population MCP. Analyze global population trends and inequality metrics.

World Bank Population connects your AI agent directly to global demographic data. You can pull total populations, growth rates, poverty metrics (based on $15/day thresholds), and Gini inequality indexes for any country.

When you use this server, your AI client acts like a dedicated demography desk. It pulls raw figures from the World Bank that let you analyze how social factors shift across regions or countries.

To get a foundational picture of a place, start by calling get_total_population. That tool retrieves the most recent total resident population count for any country or defined region, giving you the baseline number you need to work with. If you want to see how that raw number changes over time, use get_population_growth.

This returns the percentage change in population for a given year compared directly to the previous one, letting you track if a place is expanding or contracting.

When you're analyzing social stability, two tools are key. You can calculate income or wealth disparity by running get_gini_index, which spits out the Gini index—a standardized metric that measures how unevenly distributed the income or wealth is within a country. Separately, to check on economic hardship, use get_poverty. This determines the poverty headcount ratio; it calculates the fraction of people living below a set international standard, like the $15/day threshold.

For anything else—a specific metric you need that doesn't fall under population or basic income metrics—you run get_social_indicator. You just feed it the unique indicator code from the World Bank, and it fetches whatever demographic or social data point is tied to that official code. It’s a catch-all for any specialized stat.

You can string these tools together for deep analysis. For instance, you might check a country's total population using get_total_population, then immediately calculate its annual growth rate with get_population_growth. You don't have to stop there; if you suspect the growth is unevenly distributed, you follow up by calling get_gini_index to see the inequality score.

If that whole picture suggests economic stress, you run get_poverty to get the current proportion of people below the international poverty line. Need a deeper cut? You can use get_social_indicator with a specific code—say, for educational attainment rates or life expectancy—to add another layer of detail. This setup means your agent pulls all this information—total counts, growth percentages, inequality scores, poverty ratios, and arbitrary social metrics—without you having to switch systems.

It’s built so that when you need a specific data point—whether it's the sheer number of people in Brazil or the rate at which Vietnam's population grew last year—you just ask for it. The server handles connecting to the World Bank database and returns clean, actionable numbers instantly.