google-measurement-mcp
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- AlicenseBqualityAmaintenanceEnables AI agents to plan and, only when writes are explicitly enabled, apply a site's Google Analytics 4 and Search Console measurement setup — property and web stream creation, key events, custom dimensions, DNS verification, sitemap submission and a PageSpeed baseline — while remaining read-only by default.24182 PyPI1MIT
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to manage Google Tag Manager, Google Search Console, and Google Analytics (GA4) through unified access to tags, search performance data, URL inspection, sitemaps, and analytics reporting.7 npmISC
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TDQS
Scored across 20 tools
Every tool is namespaced by Google product (ga4_, gsc_, gtm_) and targets a distinct resource or action; the only close pair, gsc_search_analytics_query and gsc_compare_periods, is clearly differentiated by purpose and output. The gtm_list_* family covers separate collections (accounts, containers, workspaces, tags, triggers, variables), so an agent should not confuse them.
The set is uniformly snake_case and strongly patterned: ga4_/gsc_/gtm_ prefixes with list_ for collection reads and get_/run_/inspect_/compare_ for actions. Minor deviations such as gsc_search_analytics_query (noun-style) and gmcp_diagnostics (no action verb) keep it from a perfect score.
Twenty tools is at the high end, but the number is reasonable for a server spanning three distinct Google products (GA4, Search Console, Tag Manager) plus diagnostics. Each cluster has enough tools to support real read-only workflows without feeling padded.
The read-only measurement surface is largely covered: GA4 has metadata/reporting/realtime/discovery, Search Console has search analytics/sitemaps/URL inspection, and GTM has account-through-entity listing plus live/version comparison. Minor gaps remain, such as no GTM built-in variable tool or GTM write/publish operations, but these appear to be intentionally out of scope.