icos-mcp
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Alternatives to icos-mcp
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Related Servers
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TDQS
Scored across 8 tools
Each tool maps to a distinct step in the data-access pipeline: discovery (search_variables, find_stations, list_datasets), metadata (describe_variable), sizing (estimate), retrieval (get_data), statistics (aggregate) and attribution (get_citation). The closest pairs — search_variables vs describe_variable and estimate vs aggregate — are explicitly separated by their descriptions (find ids vs read one variable in full; size vs statistics).
Seven of eight names follow a predictable verb_noun pattern (get_data, find_stations, search_variables, list_datasets, describe_variable, get_citation). Only 'estimate' and 'aggregate' are bare verbs, but they remain unambiguous in context.
Eight tools is well-scoped for a read-only scientific data catalogue, covering discovery, inspection, retrieval, aggregation and citation without redundancy. No tool feels padded or missing from the workflow.
The surface covers the full read-only lifecycle: catalogue/dataset/station discovery, variable description, size estimation before fetching, filtered retrieval with download URL, server-side aggregation and citation metadata. Trimming isn't a concern since get_data returns a download link for the full selection, so no bulk-export gap remains.