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Umami MCP Server

by lukasschmit
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Python
Remote

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    Deploy Server
    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

    A3.5/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: get_active focuses on real-time visitor counts, get_metrics provides dimensional breakdowns, get_pageviews offers time-series data, get_stats gives summary statistics, and get_websites lists available websites. There is no overlap or ambiguity in their functions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with 'get_' as the prefix (e.g., get_active, get_metrics, get_pageviews, get_stats, get_websites). This uniformity makes the set predictable and easy to understand.

    Tool Count5/5

    With 5 tools, this server is well-scoped for analytics purposes, covering key aspects like real-time data, metrics, time-series, summaries, and website listing. Each tool earns its place without feeling excessive or insufficient.

    Completeness4/5

    The toolset provides strong coverage for querying analytics data, including active visitors, detailed metrics, pageviews, stats, and websites. A minor gap is the lack of tools for configuration or management (e.g., adding websites or events), but agents can effectively work with the provided read-only operations.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources