mcp-gsc: Smart SEO Data Analysis Through Natural Language Conversations

What is mcp-gsc?

mcp-gsc is an open-source tool developed by Amin Foroutan that integrates Google Search Console (GSC) with Claude AI. It enables SEO professionals to analyze their website’s search performance data through natural language conversations, simplifying complex data analysis tasks.

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Key Features

• Property Management: View all GSC properties, obtain verification details, and manage site information.

• Search Analytics & Reporting: Discover search queries driving traffic, track impressions, clicks, and click-through rates, and analyze performance trends over time.

• URL Inspection & Indexing: Check indexing status of specific pages, see last crawl dates, and identify indexing issues.

• Sitemap Management: View all sitemaps, submit new ones, and monitor their processing status.​

Technical Principles

Built using Python 3.11, mcp-gsc leverages the Model Context Protocol (MCP) to facilitate seamless communication between GSC and Claude AI. It utilizes Google’s API client libraries for authentication and data retrieval, allowing users to interact with their SEO data through conversational interfaces.​

Project Address

• GitHub Repository: https://github.com/AminForou/mcp-gsc​

Application Scenarios

• SEO Performance Analysis: Evaluate website search performance over specific periods to inform optimization strategies.

• Custom Reporting: Generate reports based on various dimensions like queries and devices to gain targeted insights.

• AI Tool Integration: Incorporate GSC data into AI-driven applications for automated analysis and decision-making.​

By leveraging mcp-gsc, SEO professionals can harness the power of AI to gain deeper insights into search performance, streamline reporting processes, and enhance overall SEO effectiveness.