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mcp-search-console

by ledokter

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      Enables AI agents to access Google Search Console search performance and index health data, including clicks, impressions, rankings, URL inspection, and sitemap management.
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      Enables AI agents to query and analyze Google Search Console data, including search analytics, URL inspection, sitemaps, and property verification, and to perform actions like submitting sitemaps and adding properties through natural language.
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    • A
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    TDQS

    A3.6/5.0

    Scored across 21 tools

    Disambiguation2/5

    Multiple tools have heavily overlapping purposes: get_sitemaps, list_sitemaps_enhanced, get_sitemap_details, and manage_sitemaps all cover sitemap listing/details, while get_search_analytics, get_advanced_search_analytics, get_performance_overview, and compare_search_periods all provide overlapping analytics views. This makes it genuinely ambiguous which tool an agent should select for a given task.

    Naming Consistency3/5

    Most tool names use snake_case and a verb_noun pattern, but the set mixes get_ and list_ for similar operations (get_sitemaps vs list_sitemaps_enhanced) and uses inconsistent patterns like inspect_url_enhanced vs batch_url_inspection. The naming is readable but not predictable enough to guide tool selection.

    Tool Count3/5

    At 21 tools, the server is on the heavy side for a single-domain MCP server. Many tools are justified by GSC's broad feature set, but redundant sitemap and analytics tools inflate the count beyond what is necessary. The set could be trimmed to roughly 12-15 tools without losing real capability.

    Completeness4/5

    The tool surface covers property management, search analytics, sitemap lifecycle, URL inspection, indexing checks, and authentication—covering most major Search Console workflows. Minor gaps exist, such as no direct URL indexing submission or property update operation, but agents can generally work around them.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues