Google has unveiled an open-source Model Context Protocol (MCP) server, enabling users to analyze Google Analytics data using advanced large language models like Gemini. Announced by Matt Landers, this innovative tool allows for natural language queries, simplifying the analytics process. Instead of traditional reporting methods, users can seamlessly ask questions such as “How many users did I have yesterday?” and receive instant responses. The MCP server leverages Google Analytics Admin and Data APIs, facilitating functionalities like retrieving account information and generating reports. Installation is straightforward through GitHub using pipx and requires Python and specific Google Cloud API access. During a demo, Landers showcased how the server quickly responded to complex queries, illustrating potential real-world applications like optimizing marketing budgets and analyzing product performance. As this tool evolves, it holds promise for marketers seeking rapid insights without traditional dashboard complexities. Explore the project on Google Analytics MCP’s GitHub page for more resources.
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