`datacommons_observation`

Pack: datacommons · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)

No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/datacommons_observation for the schema, then POST the same URL with its arguments for the data.

Get the value of one Google Data Commons statistical variable for one place: the latest value (default), the value at a date, or the whole time series. Each value names its original publisher (US Census, World Bank, Eurostat, CDC, …) and lists how alternate sources differ. Example: variable “Count_Person”, place “country/USA”.

Parameters

Name	Type	Required	Description
`_apiKey`	string	yes
`variable`	string	yes	Statistical variable dcid, e.g. Count_Person, Median_Income_Household (find with datacommons_find_variable)
`place`	string	yes	Place dcid, e.g. country/USA, geoId/06, Earth (find with datacommons_find_place)
`date`	string	no	LATEST (default), all (full series), or a date: 2019, 2019-06, 2019-06-30
`limit`	number	no	With date=all, max observations returned, most recent kept (default 50, max 500)

Example call

Arguments

{
  "variable": "Count_Person",
  "place": "country/USA"
}

curl

curl -X POST https://gateway.pipeworx.io/datacommons/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"datacommons_observation","arguments":{"variable":"Count_Person","place":"country/USA"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('datacommons_observation', {
  "variable": "Count_Person",
  "place": "country/USA"
});

Connect

Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://pipeworx.io/mcp"
    }
  }
}

Connect to just the datacommons pack

{
  "mcpServers": {
    "datacommons": {
      "url": "https://gateway.pipeworx.io/datacommons/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

datacommons_observation