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Chronova MCP Server

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    TDQS

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct area: AI insights, developer profile, productivity aggregates, and raw activity events. The descriptions clearly differentiate the data returned, leaving no ambiguity about which tool to select.

    Naming Consistency5/5

    All tool names follow a consistent get_<object> pattern with clear snake_case naming. The verbs and nouns are uniform, making the API predictable and easy to navigate.

    Tool Count5/5

    With only 4 tools, the server is tightly scoped to read-only coding analytics. Each tool covers a distinct and necessary data view without unnecessary bloat or redundancy.

    Completeness4/5

    The set covers the major analytics surfaces: AI insights, user context, productivity summaries, and raw activity logs. Minor gaps like team-level analytics or detailed project history could exist, but core personal coding analytics needs are well served.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive