ICOS carbon and greenhouse-gas observations

Reliability

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "icos-carbon-and-greenhouse-gas-observations": {
      "type": "http",
      "url": "https://mcp.icos-cp.eu/mcp"
    }
  }
}

8 tools

• list_datasets

  List the ICOS datasets: one per data store, with domain (atmosphere, ocean, ecosystem), time and space coverage, licence and DOI.

• search_variables

  Find variable ids in the ICOS catalogue by name, quantity or unit. The ids are what estimate and get_data take. Primary measurements come before their companions (standard deviation, value counts, flags).

• describe_variable

  One variable in full: names, unit, which dataset, its coverage, how its quality flag is read, licence and DOI. For a multi-dimensional variable read through zarr (access 'zarr'), its axes with their labels, the slice /query serves (prescribed) and an xarray line for…

• estimate

  How big a selection is -- rows, stations, time span -- without fetching it. Call this before get_data.

• get_data

  Observations for one variable, filtered by box, time, station, cruise, height and quality control. Returns at most max_rows rows as a table, the total, a download URL for the whole selection, and the citation the user must be given with any use of the data.

• get_citation

  How to cite a variable's data: the citation text, licence and DOI from its data passport, and -- for a selection (stations, a time window, a box) -- every data object it came from, in full. Data answers carry a short citation and only the COUNT of their sources…

• aggregate

  Statistics over a WHOLE selection, computed on the server: count, mean, min, max, sum and standard deviation of one variable, overall or per station, year, month or day. Use this for any average, total, range or trend instead of reading rows. Any size: a selection…

• find_stations

  The stations that carry a variable: id, name, position, sampling height, country, ecosystem -- near a point (sorted by distance), in a box, by name or by country. The ids are what estimate and get_data take as station=.

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