Google Analytics Data API MCP Server

What is Google Analytics Data API MCP Server? Google Analytics Data API MCP Server is an interface that provides access to the Google Analytics Data API using the Model Context Protocol (MCP). How to use Google Analytics Data API MCP Server? To use the server, set up a Google Cloud project, enable the Analytics Data API, create a service account, and configure the necessary environment variables. Then, start the server using the provided commands. Key features of Google Analytics Data API MCP Server? get_report: Retrieve reports based on specified date ranges, metrics, and dimensions. get_realtime_data: Access real-time data from Google Analytics. Access to Google Analytics property metadata. Use cases of Google Analytics Data API MCP Server? Generating reports on user activity over a specified period. Monitoring real-time user engagement on a website. Accessing metadata for Google Analytics properties to understand available metrics and dimensions. FAQ from Google Analytics Data API MCP Server? What are the prerequisites for using this server? You need to create a Google Cloud project, enable the Analytics Data API, and set up a service account with the appropriate permissions. Is there a detailed setup guide available? Yes, a detailed setup guide is provided in the documentation. Can I use this server for multiple Google Analytics properties? Yes, you can configure the server to access multiple properties by setting the appropriate environment variables.

As an MCP (Model Context Protocol) server, Google Analytics Data API MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, set up a Google Cloud project, enable the Analytics Data API, create a service account, and configure the necessary environment variables. Then, start the server using the provided commands. Key features of Google Analytics Data API MCP Server? get_report: Retrieve reports based on specified date ranges, metrics, and dimensions. get_realtime_data: Access real-time data from Google Analytics. Access to Google Analytics property metadata. Use cases of Google Analytics Data API MCP Server? Generating reports on user activity over a specified period. Monitoring real-time user engagement on a website. Accessing metadata for Google Analytics properties to understand available metrics and dimensions. FAQ from Google Analytics Data API MCP Server? What are the prerequisites for using this server? You need to create a Google Cloud project, enable the Analytics Data API, and set up a service account with the appropriate permissions. Is there a detailed setup guide available? Yes, a detailed setup guide is provided in the documentation. Can I use this server for multiple Google Analytics properties? Yes, you can configure the server to access multiple properties by setting the appropriate environment variables.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.