WorldPop 100 m gridded population estimates from the University of Southampton — total population…
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
WorldPop (University of Southampton) 100 m gridded population estimates, 2000-2020, summed over any polygon you supply. Answers "how many people live inside this boundary" for arbitrary geometry — a catchment, a flood extent, a service area — where census tables only answer for official administrative units.
Part of Pipeworx — an MCP gateway connecting AI agents to 1684+ live data sources.
worldpop_stats_polygon(geojson, year?, dataset?, runasync?) — total
population inside a GeoJSON Polygon/MultiPolygon.worldpop_datasets() — the population surfaces the stats service exposes.worldpop_task_status(taskid) — state and result of one async job.Keyless. WorldPop asks for fair use (roughly 1,000 calls/day) and no registration.
wpgppop population
count, wpgpas age and sex structures).Two traps this pack absorbs:
The stats call is ASYNCHRONOUS and answers 200 either way. Submitting
returns {"status":"created","taskid":...} with no population in it — a caller
that reads that as the answer gets a silent zero. worldpop_stats_polygon
polls /tasks/{id} until status is finished (12 attempts, ~1.5 s apart;
a city-sized polygon finishes in about 3 s) and returns the taskid regardless,
so nothing is lost if the polling window expires.
A GeoJSON Feature is rejected. WorldPop's validator accepts only a bare
geometry and answers "Invalid GeoJSON: ... is not valid under any of the given schemas" — as a 200 on the task, with error: true, not as an HTTP error.
Every mapping tool hands you a Feature, so normaliseGeometry unwraps
Feature and FeatureCollection before the call.
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
tools/list at https://gateway.pipeworx.io/worldpop/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
Both URLs reach the same gateway and the same 1684+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/worldpop_stats_polygon. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
Or run it directly to confirm it starts:
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
The gateway picks the right tool and fills the arguments automatically.
MIT
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