Census Population MCP. Map ethnic diversity and headcount across US geography.

This server gives your agent direct access to granular American Community Survey (ACS) data from the U.S. Census Bureau. You don't have to click through a dozen government websites just to get reliable demographic numbers; you run an operation and get clean, structured metrics back.

When you need to compare headcounts across multiple states, use get_population_by_state. It pulls the total population count and median age for all fifty U.S. states plus D.C., letting you benchmark those national-level figures instantly.

To analyze diversity nationwide, run get_demographics_by_state. This tool generates a full breakdown of race and ethnicity—White, Black, Asian, Hispanic, and Foreign-born populations—across every single state, giving you a country-wide view of how these groups are distributed. You’ll get that data for all fifty states plus D.C.

Drilling down into county details is where this server shines. If you want to map out the racial and ethnic breakdown for every county within a single state, use get_demographics_by_county. This gives you granular segmentation—it’s far more specific than just knowing the total number of people in an area.

When your focus is strictly on population totals and median age for specific counties, not the full ethnic breakdown, you gotta use get_population_by_county. It requires the county's FIPS code as input, but it gives you exactly the headcount and median age data you need for that particular jurisdiction.

If your work involves small towns or designated non-county areas, like incorporated cities or Census Designated Places (CDPs), use get_population_by_city. This tool retrieves headcounts specifically for those smaller places, separating their population from the broader county averages. It’s key when you're analyzing specific market centers.

Understanding these differences is everything: if you want a pure count of residents in a city, use get_population_by_city; if you need to compare total headcounts and median ages across multiple states, stick with get_population_by_state. Conversely, if you're mapping out how different ethnic groups are spread county by county within one state—say, tracking the distribution of Asian or Hispanic residents across every county in California—you’ll want the detailed breakdown from get_demographics_by_county.

You can combine these calls to build sophisticated models. You might run get_population_by_state first for a high-level comparison, then use that knowledge to drill down on two key counties using get_population_by_county, and finish by checking the specific demographics of a single major city using get_demographics_by_city. It's about having access to every level of administrative data—from the national aggregate down to the smallest recognized CDP.

You won't find this depth of structured Census access anywhere else.