MCP Server: Connecting with Google Sheet for Customer Analytics

🚀 In this video, I demonstrate how to build and deploy an MCP (Model Context Protocol) Server hosted on Render that connects with Google Sheets to retrieve customer purchase analytics based on a customer’s name. The project showcases how AI-powered development tools can accelerate backend application development and data integration workflows. 🛠️ Technologies & Tools Used: ✔ MCP Server ✔ Render Deployment ✔ Google Sheets API ✔ Visual Studio Code ✔ ChatGPT-assisted Development ✔ Python 💡 What this project does: - Accepts a customer name as input - Connects to Google Sheets as a data source - Retrieves and analyzes purchase-related information - Demonstrates cloud deployment using Render This project highlights how developers can combine AI tools like ChatGPT with modern development environments such as Visual Studio Code to rapidly prototype and deploy intelligent applications. 🎯 Ideal for: - Developers exploring MCP servers - AI-assisted software development enthusiasts - Students learning API integration - Cloud deployment beginners - Google Sheets automation projects Link to github repositories: Initial MCP code with say_hello and get_weather: https://github.com/mibuhari/mcp-server-python-mosarzqf MCP code to connect to Google Sheet: https://github.com/mibuhari/mcp-server-python-googlesheet-userinfo If you found this helpful, don’t forget to: 👍 Like 💬 Comment 🔔 Subscribe for more AI, cloud, and software development tutorials #MCPServer #ChatGPT #GoogleSheetsAPI #Render #VSCode #AIProgramming #NodeJS #SoftwareDevelopment #CloudDeployment #APIDevelopment