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surendranb

Google Analytics MCP Server

by surendranb

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      Enables 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.
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    TDQS

    A4.2/5.0

    Scored across 12 tools

    Disambiguation5/5

    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.

    Naming Consistency5/5

    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.

    Tool Count5/5

    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.

    Completeness5/5

    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.

    Maintenance

    ActivityActive
    ResponsivenessResponsive