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gsc-mcp

by FlorianBruniaux
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Python
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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

    C2.6/5.0

    Scored across 81 tools

    Disambiguation2/5

    Many tools overlap closely: get_search_analytics vs get_advanced_search_analytics, quick_wins vs seo_striking_distance, traffic_drops vs seo_lost_queries vs analytics_anomalies, and inspect_url vs batch_url_inspection vs check_indexing_issues. Bing, GA4, and CrUX tools add parallel near-duplicates, making tool selection error-prone despite helpful descriptions.

    Naming Consistency3/5

    All names use snake_case, but the pattern is mixed: some are verb_noun (list_properties, inspect_url), others are noun phrases (quick_wins, content_quality, schema_validate), and many are grouped by prefixes (bing_, ga4_, crux_, sitemaps_). It is readable but not a single predictable convention.

    Tool Count1/5

    81 tools is an extreme mismatch for a single MCP server, far beyond the 3-15 well-scoped range. The surface includes many near-duplicates across GSC, Bing, GA4, CrUX, and audit categories, creating high selection and maintenance burden.

    Completeness4/5

    Coverage is very broad: GSC analytics, indexing, sitemaps, Bing Webmaster tools, GA4, CrUX, on-page audits, schema, drift, and submissions. Minor gaps exist, such as property administration and some provider-specific lifecycle operations, but most core SEO workflows are supported.

    Maintenance

    ActivityActive
    ResponsivenessSlow

    Resources