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Apple Health MCP Server

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    TDQS

    A4/5.0

    Scored across 7 tools

    Disambiguation4/5

    The tools are mostly distinct, with clear separation between Elasticsearch-based analytics (get_health_summary_es, get_statistics_by_type_es, get_trend_data_es, search_health_records_es) and XML file operations (get_xml_by_type, get_xml_structure, search_xml_content). However, there is some potential overlap between get_statistics_by_type_es and get_trend_data_es, as both analyze specific record types over time, which could cause confusion in tool selection.

    Naming Consistency4/5

    Naming follows a consistent snake_case pattern throughout, with most tools using a clear verb_noun structure (e.g., get_health_summary_es, search_health_records_es). The only minor deviation is get_xml_structure, which uses 'get' instead of a more descriptive verb like 'analyze', but overall the naming is highly predictable and readable.

    Tool Count5/5

    With 7 tools, the count is well-scoped for an Apple Health data analysis server. This number provides comprehensive coverage for both Elasticsearch analytics and XML file operations without being overwhelming, and each tool appears to serve a distinct purpose that justifies its inclusion.

    Completeness4/5

    The toolset covers key operations for health data analysis, including summary retrieval, statistical analysis, trend visualization, and search capabilities across both Elasticsearch and XML sources. A minor gap exists in the lack of explicit update or delete tools, but given the server's focus on read-only data analysis from Apple Health exports, this is reasonable and agents can work effectively with the provided tools.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources