# mcp-worldpop

> mcp-worldpop — pipeworx-io-mcp-worldpop. Use this tool when you need to estimate population demographics within a specific geographic area, as it provides total population, age, and sex structures for any polygon and year between 2000 and 2020. It solves problems related to population analysis, urban planning, and demographic research by offering detailed estimates at a 100m grid resolution. Input a polygon and year to receive the corresponding population data as output.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-worldpop  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-worldpop

## Description

WorldPop 100 m gridded population estimates from the University of Southampton — total population inside any polygon you supply, for any year from 2000 to 2020, plus the age and sex structures behind it.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-worldpop)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pipeworx-io-mcp-worldpop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-worldpop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-worldpop/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt