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Delmain GA4 MCP

by aline-delmain
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Python
Remote

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    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