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surendranb

Google Analytics MCP Server

by surendranb
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Python
Hybrid

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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

    A4.5/5.0

    Scored across 10 tools

    Disambiguation4/5

    The schema exploration tools (list_dimension_categories, list_metric_categories, get_dimensions_by_category, get_metrics_by_category, search_schema, get_property_schema) have some overlap in purpose, but descriptions clearly differentiate browsing vs. searching vs. full schema. The remaining tools (get_ga4_data, search_skills, get_troubleshooting_guide, setup_ga4_access) are distinct.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (list_*, get_*, search_*). Minor deviations: setup_ga4_access uses a different verb style, and get_ga4_data is the only tool with a non-descriptive resource name, but overall the pattern is predictable.

    Tool Count5/5

    10 tools is well-scoped for a GA4 analytics server. Each tool serves a clear purpose: schema discovery (6 tools), data retrieval (1), skills/guidance (2), and setup troubleshooting (1). No redundancy that inflates the count.

    Completeness5/5

    The tool surface covers the full analytics workflow: discover schema, search for analytical patterns, retrieve data, troubleshoot errors, and fix setup issues. The only minor gap is no direct tool for managing properties or accounts, but that's outside the stated purpose of querying a configured GA4 property.

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