MCP server for GA and GSC data analysis
Overview
what is MCP Search Analytics Server?
MCP Search Analytics Server is a Model Context Protocol (MCP) server designed for analyzing data from Google Analytics and Google Search Console.
how to use MCP Search Analytics Server?
To use the MCP Search Analytics Server, clone the repository, set up a virtual environment, install the required dependencies, configure your Google Service Account, and run the server to access real-time analytics data.
key features of MCP Search Analytics Server?
- Unified access to Google Analytics 4 and Google Search Console data
- Real-time analytics queries through the MCP interface
- Secure credential management via environment variables
use cases of MCP Search Analytics Server?
- Analyzing website traffic and performance metrics from Google Analytics.
- Monitoring search performance and visibility through Google Search Console.
- Integrating data from multiple sources for comprehensive analytics reporting.
FAQ from MCP Search Analytics Server?
- What are the prerequisites for using this server?
You need Python 3.8+, a Google Cloud Project with Analytics and Search Console APIs enabled, and a Google Service Account with appropriate permissions.
- Is it secure to use this server?
Yes, it emphasizes secure credential management and advises against committing sensitive files to version control.
- Can I contribute to this project?
Yes! You can fork the repository, create a feature branch, and submit a pull request after making your changes.