Model Context Protocol (MCP) lets AI clients connect to tools and external data sources through a consistent interface. Running an MCP server locally is useful during development, but what if you want to host one remotely? In this tutorial, we'll deploy a Python weather MCP server built with FastMCP to Amazon EKS , expose it through a Kubernetes LoadBalancer Service, and connect it to Claude Code and Pydantic AI Agent . What we're building Our application follows this ...