# Eurostat [Health: Active]

**Category:** 🧮 Data Science Tools  
**Repository:** https://github.com/pipeworx-io/mcp-eurostat  
**GitHub Stars:** 0  
**npm Downloads (last month):** 444  
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**Directory Page:** https://allmcps.com/mcp/eurostat

## Description
Eurostat MCP — wraps Eurostat Statistical Data API (no auth required)

## Tools
Capabilities this server exposes over MCP:

- **get_dataset**

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "eurostat": {
    "command": "npx",
    "args": ["-y","@pipeworx/mcp-eurostat"]
  }
}
```

## Documentation

## What Eurostat MCP server does

Eurostat exposes official European Union statistics covering areas such as the economy, prices, labour, population, migration, trade, energy, environment, and tourism. The package provides MCP access to Eurostat's statistical data endpoint and dataset catalogue, so an MCP-compatible agent can identify a dataset and then retrieve its observations.

The integration is independent and unofficial; it is not affiliated with, endorsed by, or published by Eurostat. No authentication is required for the Eurostat API or for the initial gateway calls.

## How it works

The hosted connection is available at `https://gateway.pipeworx.io/eurostat/mcp`. A client can use this URL as an MCP server and call the Eurostat-specific tools through the Pipeworx gateway. The same gateway also exposes shared Pipeworx tools, including routing and discovery functions. Consequently, a gateway connection may list more tools than the Eurostat-specific set.

A local installation uses the npm package `@pipeworx/mcp-eurostat` and communicates over standard input and output. In local mode, the server exposes only the Eurostat pack's tools and does not include the gateway's shared meta-tools. Both modes use the same underlying Eurostat data sources.

Eurostat observations come from the dissemination API, with filters passed as query parameters. Dataset discovery uses Eurostat's table-of-contents TSV, which is cached at the edge for six hours and filtered by the integration.

## Setup and configuration

For a hosted connection, add the following MCP server entry:

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

To run the standalone server locally, configure an MCP client to invoke the package with `npx`:

```json
{
  "mcpServers": {
    "eurostat": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-eurostat"]
    }
  }
}
```

The package can also be started directly with `npx -y @pipeworx/mcp-eurostat`. No Pipeworx account is needed for the standalone mode.

## Tools and capabilities

- `search_datasets(query)` searches the full Eurostat table of contents and returns dataset codes. The catalogue contains approximately 10,000 datasets and tables.
- `list_datasets()` returns a curated collection of about 19 frequently used dataset codes organized by theme.
- `get_dataset(dataset_code, geo?, time?)` retrieves observations for a selected dataset. `geo` can restrict results to a geography, while `time` can specify a year, month, or quarter.

Supported time examples include `2023`, `2023-01`, and `2023-Q1`. Compact forms such as `2023M01` and `2023Q1` are normalized automatically. For example, a request can retrieve unemployment data for Germany in June 2025 using dataset code `une_rt_m`, geography `DE`, and time `2025-06`.

The gateway also supports natural-language requests through `ask_pipeworx`, which can select a tool and populate its arguments. Direct HTTP tool calls are available through the gateway's `/v1/tools/` endpoints.

## Limitations and notes

The hosted pack endpoint necessarily includes shared gateway tools alongside the Eurostat tools. If you need a smaller tool surface, use the local stdio package. Alternatively, the full Pipeworx gateway exposes all connected packs directly.

Results depend on the Eurostat dissemination API and catalogue. Dataset codes must be identified before retrieval unless a known code is supplied. The integration is an unofficial wrapper around Eurostat rather than an upstream Eurostat publication.

_Full upstream README: https://allmcps.com/mcp/eurostat/readme_