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Delmain GA4 MCP

by aline-delmain
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Python
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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

    A4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: get_property fetches metadata for one property, list_properties discovers all accessible properties, run_realtime_report provides real-time data, and run_report handles historical reports. There is no overlap, and agents can easily distinguish which tool to use.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (get_property, list_properties, run_realtime_report, run_report), making naming predictable and easy to understand.

    Tool Count3/5

    With only 4 tools, the set is on the smaller side for a GA4 server. While the tools cover basic property retrieval and reporting, additional tools for dimension/metric discovery, account management, or specialized reports (e.g., funnel, cohort) could be expected. The count is acceptable but leaves room for expansion.

    Completeness3/5

    The tool surface covers essential read-only operations: property discovery, metadata, real-time data, and historical reports. However, it lacks tools for listing dimension/metric definitions, managing properties, or running more advanced analysis types like funnels or cohorts. Users may need to rely on external knowledge for dimension/metric names.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources