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google-analytics-mcp-server

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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 27 tools

    Disambiguation3/5

    Several tools overlap in purpose, especially ga4_validate_query vs ga4_check_compatibility, ga4_run_advanced_funnel_report vs ga4_run_funnel_recipe, and ga4_get_audience_diagnostics vs ga4_get_audience_export_diagnostics. Descriptions help clarify these boundaries, but an agent could still misselect among closely named tools.

    Naming Consistency5/5

    All tools use the ga4_ prefix and snake_case in a predictable action_object pattern, such as run_report, list_properties, get_metadata, and validate_query. The convention is consistent throughout, with only minor compound verb variations like batch_run.

    Tool Count2/5

    With 27 tools, the server is well above the typical 3-15 range and feels heavy. Many are specialized read-only diagnostics that could be consolidated or exposed as parameters, creating unnecessary surface area for an MCP toolset.

    Completeness4/5

    The surface covers a wide range of read-only GA4 operations: reporting, realtime, pivots, batches, funnels, metadata, admin resources, audiences, ecommerce, BigQuery, server-side tagging, and quotas. Gaps remain in write/admin lifecycle operations and some diagnostic depth, but for a read-only analytics server the core analysis surface is largely complete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources