Stop downloading Data! The SECURE Way to Connect AI Coders & Google

Give Your AI Coding Assistant Access to Google Workspace.

Learn how to set up a secure, read-only Model Context Protocol (MCP) server that connects Claude, Cursor, and Gemini directly to your Google Drive, Gmail, and Calendar.

About This Video:
In this tutorial, I walk you through installing and configuring a Python-based Google Workspace MCP server. Unlike other tools, this supports both Enterprise ADC (Application Default Credentials) and personal OAuth setups. I’ll show you exactly how to configure Google Cloud Console, generate your credentials, and config your AI tools to read your emails and analyze spreadsheets without leaving your IDE.

Key Takeaways
✅ Secure Authentication: How to set up OAuth for personal Gmail or ADC for Enterprise use.

✅ Full Installation: Step-by-step guide to cloning the repo and installing dependencies with uv.

✅ Live Demo: Watch Claude read real emails and summarize complex data from Google Sheets.

Resources
Link to GitHub Repo: https://github.com/jacob-bd/google-workspace-mcp

ASSET 3: SMART CHAPTERS
00:00 - What is the Google Workspace MCP?
00:45 - Enterprise ADC vs. Personal OAuth
01:21 - Installing the Server with uv
01:56 - Google Cloud Project Setup
02:50 - Enabling Drive & Gmail APIs
03:40 - Configuring OAuth Consent Screen
05:46 - Creating OAuth Client Credentials
06:40 - Saving Credentials Locally
07:22 - Authorizing the MCP Server
08:40 - Configuring Claude & Gemini Desktop
09:20 - DEMO: AI Reading My Last 3 Emails
10:25 - DEMO: Analyzing Google Sheets Data

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