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ga4-mcp-server

by burhan29ee
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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 19 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action—accounts, properties, streams, reports, custom dimensions/metrics, key events, audiences, secrets, and event sending. No two tools overlap in purpose; even similar operations (archive vs. delete) are clearly differentiated by resource type.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (list_*, create_*, get_*, run_*, archive_*, delete_*, send_*). The use of 'archive' for some resources and 'delete' for others reflects GA4 API conventions rather than inconsistency.

    Tool Count4/5

    At 19 tools, the set is on the heavier side but still well-scoped for GA4 management, covering configuration, reporting, audience creation, and Measurement Protocol. Each tool serves a distinct purpose, though some trimming could be possible.

    Completeness3/5

    The surface covers core workflows but has notable gaps: no update/archive for custom metrics, no update for audiences, no delete for key events, and no tools for user properties or property management. These omissions could force workarounds but don't break the primary use cases.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources