Feb 24
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Turn ChatGPT into a functional AI Agent! In this video, we use Python and the Model Context Protocol (MCP) to bridge the gap between LLM reasoning and the Gmail API. About this Video: Stop using ChatGPT as just a chatbot and start using it as an operator. I’ll walk you through the end-to-end process of building a custom MCP server in Python that allows ChatGPT to authenticate with Google, draft emails, and send them directly from your account. What you’ll learn: ✅ Setting up the Model Context Protocol (MCP) environment. ✅ Configuring the Gmail API via Google Cloud Console. ✅ Writing the Python logic for the MCP Server. ✅ Connecting the tool to ChatGPT for real-time execution. 🛠️ Tools & Tech Stack: Language: Python 3.11+ Protocol: Model Context Protocol (MCP) API: Google Workspace / Gmail API Library: mcp (Python SDK) Timestamp Chapters: 0:00 - Introduction 0:35 - What we've built 0:59 - Structure Explained 1:18 - Setting up Google Cloud & Gmail API 2:16 - Writing the Python MCP Server 6:37 - Run MCP and Configure NGROK 7:42 - Configuring the ChatGPT Desktop App 9:18 - Live Demo: Sending an Email via Chat 🔗 MCP Documentation: https://modelcontextprotocol.io 🔗 Google Cloud Console: https://console.cloud.google.com/ #ChatGPT #Python #MCP #AI #Automation #GmailAPI #SoftwareEngineering