Developers are increasingly incorporating AI into user-facing applications through the Model Context Protocol (MCP), which allows large language models to connect with external tools and APIs in a standardized manner. This guide demonstrates how to secure a remote MCP server using Descope's MCP Auth SDKs and deploy it on Fly.io, enabling the server to access weather data from the National Weather Service API. It outlines the integration of OAuth 2.0 Authorization Code Flow and Dynamic Client Registration to manage authentication and authorization processes, ensuring secure interactions between AI applications and external services. The guide also provides detailed instructions on setting up the server with Express.js, using the official MCP TypeScript SDK for server logic, and deploying the system with a Docker image on Fly.io. This approach showcases how MCP can enhance the capabilities of AI applications by connecting them to real-time data and external services, offering enterprises and users improved analytics and decision-making capabilities.