Google Analytics MCP Server
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- AlicenseNot gradedqualityDmaintenanceEnables querying Google Analytics 4 data using natural language through MCP clients like Claude and Cursor, supporting 200+ dimensions and metrics for traffic, user behavior, and e-commerce analysis.MIT
- AlicenseAqualityCmaintenanceConnects MCP clients like Claude Desktop to Google Analytics 4 Data API, enabling natural language queries for reports, top pages, traffic sources, conversions, realtime users, and period comparisons.747 PyPIMIT
- FlicenseAqualityDmaintenanceConnects Claude to Google Analytics 4 for querying website analytics via natural language, enabling traffic summaries, top pages, traffic sources, and user engagement.4-
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants like Claude, ChatGPT, and Cursor to query GA4 traffic, conversion, channel, e-commerce, and demographic reports conversationally, and to manage properties, data streams, audiences, key events, and other configuration through 62 read and write actions. Access can be scoped per account with read-only mode and destructive actions disabled by default.MIT
- AlicenseNot gradedqualityCmaintenanceEnables Claude and other MCP clients to securely read GA4 accounts, properties, reports, conversions, revenue, funnels, and realtime activity through Google's Analytics APIs. It supports guided setup, multiple authentication methods, and read-only querying of analytics data.MIT
- FlicenseAqualityDmaintenanceEnables natural language querying of Google Analytics 4, Google Search Console, Meta Ads, and Google Ads data through Claude.23-
TDQS
Scored across 12 tools
Each tool has a clearly distinct purpose: data querying, schema discovery/search, category browsing, property listing, setup repair, troubleshooting, skills lookup, and update checking. The schema-related tools are layered rather than overlapping, and descriptions explicitly direct agents to the right tool for search vs. browse vs. full schema.
All tool names use snake_case and follow predictable verb_noun or verb_preposition_noun patterns such as list_properties, search_schema, get_ga4_data, and setup_ga4_access. The convention is consistent across the entire set.
Twelve tools is well-scoped for a GA4 query server that must cover authentication setup, property discovery, schema exploration, data retrieval, troubleshooting, and analytical guidance. Each tool earns its place without excessive surface area.
The server covers the full read/query lifecycle for GA4 analysis: finding properties, discovering and validating dimensions/metrics, running reports, handling schema/filter/auth errors, repairing setup, and retrieving domain-specific analytical playbooks. No obvious core operation is missing for a read-only analytics MCP server.