Skip to main content
Glama
Walma-Labs

ga4-mcp

by Walma-Labs

Related Servers

Alternatives to ga4-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      A
      maintenance
      Enables read-only access to Google Analytics 4 data through seventeen tools covering reports, realtime data, funnels, pivots, metadata, and admin lists. It runs locally with service account credentials and lets users query properties via standard MCP clients.
      17
      35 PyPI
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables MCP clients to directly access Google Analytics 4 data, including property metadata, custom dimensions and metrics, reports, real-time reporting, annotations, and Google Ads links.
      7
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying Google Analytics 4 data through MCP tools for running reports, listing properties, getting real-time metrics, and exploring metadata.
      14 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables querying Google Analytics 4 reports, realtime data, funnels, and property configurations from any MCP client using natural language, with a one-command setup requiring only a service account key.
      9 npm
      Apache 2.0
    • A
      license
      B
      quality
      B
      maintenance
      Enables read-only Google Analytics 4 reporting through MCP, including daily summaries, top pages, acquisition, events, realtime activity, metadata, and custom reports with CSV/JSON output.
      8
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables querying Google Analytics 4 properties using natural language through MCP clients. Supports customizable reports with any dimensions and metrics, listing properties, and real-time data.
      4
      MIT

    TDQS

    A3.7/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools are clearly distinct, but run_report vs run_conversions_report overlap in scope and the description has to explicitly say 'USE THIS TOOL INSTEAD OF run_report WHEN...' to disambiguate. run_realtime_report, run_funnel_report, and the get_/list_ discovery tools are cleanly separated, so only one boundary is fuzzy and it is well-documented.

    Naming Consistency4/5

    All tools follow a predictable verb_noun pattern (get_*, list_*, run_*), which is readable and consistent. The only weakness is that the generic run_report lacks a qualifier like run_standard_report, making it slightly ambiguous against run_realtime_report/run_funnel_report/run_conversions_report.

    Tool Count5/5

    Nine tools is well-scoped for a GA4 reporting server: five read/discovery tools plus four report runners covering the main Data API report shapes. No tool feels redundant or padded.

    Completeness4/5

    The surface covers discovery (accounts, property, ads links, annotations, custom dims/metrics) and all major report types (standard, realtime, funnel, conversions), so core analytical workflows are fully reachable. Minor gaps remain: no pivot or batch-run report equivalents and no annotation write operations.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues