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zh-education-mcp

by malkreide
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Python
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    TDQS

    A4.3/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a unique aspect of Zurich education data: listing districts, trends per district, canton-wide overview, Sek1 profiles, nationalities, maturity rates, residence trends, and secondary school statistics. The two trend tools are clearly differentiated by school location vs. residence.

    Naming Consistency5/5

    All tools consistently use the zh_edu_ prefix and snake_case, with descriptive names that reflect their purpose (e.g., list_schulgemeinden, maturitaetsquote). The mix of German and English terms is predictable and does not hinder usability.

    Tool Count5/5

    Eight tools is well within the ideal range for an education statistics server. Each tool covers a distinct facet without redundancy, making the set feel appropriately scoped.

    Completeness4/5

    The set covers listing, trends, profiles, demographics, and specific school types comprehensively. Minor gaps exist, such as a lack of tools for raw data export or per-school detailed statistics, but the core analytics needs are well met.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources