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ICOS carbon and greenhouse-gas observations

by FastDrop

MCP Verified 20 hours ago Registry import free

ICOS atmosphere, ocean and ecosystem greenhouse-gas observations, with citation and DOI per answer

ICOS atmosphere, ocean and ecosystem greenhouse-gas observations, with citation and DOI per answer Official MCP Registry: eu.icos-cp/icos@0.2.0. Remote endpoint: https://mcp.icos-cp.eu/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as eu.icos-cp/icos and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 30 Oct 2026. Not supplied by the maker.

  • 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 co

  • 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 wit

  • 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,

  • 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. D

  • 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 aver

  • 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 an

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