Google Search Console MCP Intel Engine
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- AlicenseNot gradedqualityAmaintenanceEnables natural-language, read-only analysis of your own Google Search Console and Google Analytics 4 data, including search performance, engagement, sitemap health, ranking opportunities, and deterministic SEO audits through MCP clients like ChatGPT.MIT
- AlicenseBqualityDmaintenanceProfessional Google Search Console MCP server providing 40+ SEO tools for performance analysis, content decay, CTR opportunities, and more, enabling real search data in clients like Cursor and Claude.4010 npm6MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to fetch Google Search Console search analytics reports (clicks, impressions, CTR, position) over MCP, with support for custom date ranges, dimensions, filters, comparisons, and exports.MIT
- AlicenseNot gradedqualityCmaintenanceEnables natural-language querying of Google Search Console data, including search analytics, site properties, URL inspection, and sitemap status, through MCP-compatible clients like ChatGPT and Claude.MIT
- AlicenseAqualityCmaintenanceEnables AI assistants to analyze Google Search Console SEO data through natural language, including search analytics, URL inspection, sitemap management, and property management.21MIT
- AlicenseAqualityCmaintenanceMCP server for querying Google Search Console data — search analytics, URL inspection, sitemap monitoring, and more — read-only tools for any MCP-compatible AI client.7Apache 2.0
TDQS
Scored across 10 tools
Each tool targets a distinct resource or action: sites, dimensions, metrics, skills, sitemaps, analytics, and setup. The only similar pair is skills_list/skill_read but they are clearly list vs. fetch-content, matching the standard pattern. No meaningful overlap.
Most tools follow a clear verb_noun snake_case pattern (list_, get_, submit_, delete_, setup_). However, skills_list and skill_read invert the convention to noun_verb, which is a minor but noticeable deviation from the dominant pattern.
Ten tools is well-scoped for a GSC integration, covering metadata discovery, sitemap management, analytics retrieval, skills/playbooks, and setup. Each tool has a clear role without redundancy or bloat.
The surface covers core GSC workflows: listing sites, querying analytics, managing sitemaps, and enumerating dimensions/metrics. Minor gaps exist, such as no direct URL inspection tool or ability to fetch a single site's details, but these can be worked around with existing tools.