Google Analytics MCP Setup Tutorial

In this video, Matt Landers, walks you through the complete setup process for the new Analytics MCP (Model Context Protocol) server. Learn how to connect your Google Analytics data directly to a Large Language Model (LLM) of your choice and start having natural language conversations with your Analytics data. We'll follow the setup instructions from the GitHub repository, using the Gemini CLI as our example LLM agent. This step-by-step guide is perfect for developers and data analysts looking to leverage the power of generative AI on their Analytics data to gain critical insights in their data. 🔗 Useful Links: Analytics MCP Server on GitHub: https://github.com/googleanalytics/google-analytics-mcp Google Cloud Console: https://console.cloud.google.com/ gcloud CLI: https://cloud.google.com/sdk/docs/install Gemini CLI: https://github.com/google-gemini/gemini-cli Join our Discord Community: https://goo.gle/ga-discord 👍 If you found this tutorial helpful, please give it a thumbs up, subscribe for more Analytics content, and hit the notification bell! Have questions or feedback? Drop a comment below or join the discussion on our GitHub or Discord! Chapters: 00:00 - Introduction 00:46 - Step 1: Verifying Your Python Version 01:43 - Step 2: Configuring and Testing Pipx 02:32 - Step 3: Enabling the Google Analytics Admin & Data APIs 03:42 - Step 4: Creating an OAuth Client 04:50 - Step 5: Install the gcloud CLI 05:25 - Step 6: Authenticating with the gcloud CLI 06:32 - Step 7: Configure Your LLM Client (Gemini CLI) #GoogleAnalytics #LLM #Gemini #GA4 #API #Developer #DataAnalysis #MCP