Google Search Console MCP

Free community MCP server for natural language Google Search Console analysis

ToolsSEO & MarketingMCPOpen SourceFree (open-source)

Overview

MCP-GSC is a community-developed MCP server that connects Google Search Console to AI assistants like Claude. Instead of navigating GSC's interface or writing API queries, you can analyze search performance, inspect URLs, and manage sitemaps through natural language conversations.

Key differentiator: MCP-GSC is completely free and provides direct access to your first-party search data. While third-party tools estimate traffic, GSC provides actual click and impression data from Google—the ground truth for organic search performance.

With beginner-friendly setup guides and video tutorials, MCP-GSC makes GSC data accessible to teams without technical expertise. Agencies managing multiple properties can query across all sites from a single Claude conversation.

Key Features

Property management
List, add, and manage multiple GSC properties from one interface
Search analytics
Query clicks, impressions, CTR, and position data with date/dimension filtering
Performance visualizations
Generate charts and reports directly in Claude conversations
URL inspection
Check indexing status, crawl info, and mobile usability for specific URLs
Sitemap management
Submit, delete, and monitor sitemap status across properties
Multi-property queries
Analyze performance across all managed sites simultaneously
Natural language filtering
Ask questions like "show me queries where CTR dropped last week"

Use Cases

Performance Monitoring

  • Daily/weekly search performance trend analysis
  • Query-level CTR optimization opportunities
  • Position tracking for target keywords
  • Click attribution across landing pages

Technical SEO

  • Bulk URL indexing status checks
  • Crawl error identification and tracking
  • Mobile usability issue detection
  • Sitemap coverage monitoring

Agency Management

  • Multi-client performance dashboards
  • Cross-property query analysis
  • Automated client reporting via Claude
  • Comparative performance benchmarking

Content Optimization

  • High-impression, low-CTR query identification
  • Content gap analysis from query data
  • Landing page performance by query cluster
  • Seasonal trend detection for content planning

Considerations

Before You Adopt
  • Requires Python/Node.js environment and Claude Desktop setup
  • OAuth configuration needed for Google API authentication
  • Community-maintained—not officially supported by Google
  • Limited to GSC data only; no keyword research or backlink data
  • No built-in strategic alignment—reports metrics without organizational context
  • Data freshness depends on GSC processing (typically 2-3 day lag)

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