`get_dataset`

Pack: eurostat · Endpoint: https://gateway.pipeworx.io/eurostat/mcp

Fetch statistical data from a Eurostat dataset by dataset code. Optionally filter by country (geo) and time period. Example: get_dataset({ dataset_code: “nama_10_gdp”, geo: “DE”, time: “2023” }). Common dataset codes: “nama_10_gdp” (GDP), “prc_hicp_manr” (inflation), “une_rt_m” (unemployment).

Parameters

Name	Type	Required	Description
`dataset_code`	string	yes	Eurostat dataset code, e.g. “nama_10_gdp”, “prc_hicp_manr”, “une_rt_m”
`geo`	string	no	Country/region code filter, e.g. “DE” (Germany), “FR” (France), “EU27_2020” (EU aggregate)
`time`	string	no	Time period filter, e.g. “2023”, “2023M01” (Jan 2023), “2023Q1” (Q1 2023)

Example call

Arguments

{
  "dataset_code": "nama_10_gdp",
  "geo": "DE",
  "time": "2023"
}

curl

curl -X POST https://gateway.pipeworx.io/eurostat/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_dataset","arguments":{"dataset_code":"nama_10_gdp","geo":"DE","time":"2023"}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('get_dataset', {
  "dataset_code": "nama_10_gdp",
  "geo": "DE",
  "time": "2023"
});

More examples

{
  "dataset_code": "prc_hicp_manr",
  "geo": "EU27_2020",
  "time": "2023M06"
}

Response shape

Always returns: dataset, label, updated, dimensions, value_count, values

Field	Type	Description
`dataset`	string	The dataset code requested
`label`	string	Human-readable label for the dataset
`updated`	string	Last update timestamp of the dataset
`dimensions`	object	Dataset dimensions with labels and category mappings
`value_count`	number	Number of data values in the dataset
`values`	object	Data values indexed by dimension combination

Full JSON Schema

{
  "type": "object",
  "properties": {
    "dataset": {
      "type": "string",
      "description": "The dataset code requested"
    },
    "label": {
      "type": "string",
      "description": "Human-readable label for the dataset"
    },
    "updated": {
      "type": "string",
      "description": "Last update timestamp of the dataset"
    },
    "dimensions": {
      "type": "object",
      "description": "Dataset dimensions with labels and category mappings",
      "additionalProperties": {
        "type": "object",
        "properties": {
          "label": {
            "type": "string",
            "description": "Label for the dimension"
          },
          "categories": {
            "type": "object",
            "description": "Category index to label mappings",
            "additionalProperties": {
              "type": "string"
            }
          }
        }
      }
    },
    "value_count": {
      "type": "number",
      "description": "Number of data values in the dataset"
    },
    "values": {
      "type": "object",
      "description": "Data values indexed by dimension combination",
      "additionalProperties": {
        "type": [
          "number",
          "null"
        ],
        "description": "Numeric value or null if missing"
      }
    }
  },
  "required": [
    "dataset",
    "label",
    "updated",
    "dimensions",
    "value_count",
    "values"
  ]
}

Connect

Add this to your MCP client config, or use one-click install buttons:

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

See Getting Started for client-specific install steps.

get_dataset