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JOSETRA44

UNdata

by JOSETRA44
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Python
Remote

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools are clearly distinct (list_dataflows, search_series, get_country_profile, compare_countries). However, undata_get_wdi_data and undata_get_mdg_data overlap somewhat in that both return time-series indicator data for countries, and undata_get_mdg_data could arguably be handled by a parameter on get_wdi_data. The generic undata_query also overlaps with all of them, but its descriptions frame it as a fallback, which reduces confusion.

    Naming Consistency4/5

    The tools consistently use the undata_ prefix followed by verb_object patterns like list_dataflows, get_wdi_data, get_country_profile, search_wdi_series, compare_countries. Minor inconsistency: get_mdg_data lacks a qualifier matching the pattern of get_wdi_data (could be 'get_undata_mdg_data') and the prefix styles are otherwise uniform.

    Tool Count5/5

    Seven tools is a well-scoped set for a data access server. Each tool serves a distinct purpose: discovery, search, specific datasets (WDI, MDG), profiles, comparison, and generic querying. This feels well-balanced without redundancy.

    Completeness4/5

    The tool surface covers the full discovery-to-retrieval workflow well: list dataflows to discover, search series, retrieve specific datasets, get country profiles, and compare. A minor gap is that the server appears read-only (no export or metadata endpoint explicitly), and undata_get_mdg_data could have been folded into the generic query with a parameter, but the overall coverage is strong.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources