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dhawalshah

google-analytics-mcp

by dhawalshah
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Python
Hybrid

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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

    A3.6/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools are clearly distinct by metric type (page views, active users, events, traffic sources, devices, realtime users). However, get_active_users and get_realtime_users both measure active users, differing only by time window, which could cause confusion. run_report and run_funnel_report are distinct but run_report's broad scope overlaps somewhat with the individual metric getters.

    Naming Consistency4/5

    Tool names follow a consistent get_<metric>_metrics pattern, with list_properties, get_property_metadata, run_report, and run_funnel_report as readable exceptions. The naming is mostly consistent, though run_report and run_funnel_report use a different verb style than the get_* tools.

    Tool Count5/5

    10 tools is well-scoped for a Google Analytics MCP server. Each tool covers a distinct reporting need, and the count is within the ideal 3-15 range.

    Completeness4/5

    The server covers property discovery, metadata exploration, standard reports, realtime data, and funnel analysis. Minor gaps include no tool for creating/updating properties or managing audiences, but the core analytics querying surface is well covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources