Python is a strong choice for API services, automation tasks, and AI infrastructure. This section covers frameworks, testing, packaging, and operational patterns for production-ready Python systems.
Articles
MCP Apps: Interactive UIs for AI Clients - A practical guide
With MCP Apps you can add interactive UIs directly into AI clients like Claude and ChatGPT. In this post, I show how to build the Python backend for tools and data, and a React frontend for the interactive UI.
MCP Resources: Adding Climate Data to Your Weather Server
Extend MCP servers with Resources for read-only data. Add 30-year climate normals to the weather server, understand Resource Templates, and combine Tools + Resources for powerful AI workflows.
Building Your First MCP Server: A Weather Forecast Integration
A hands-on tutorial for creating production-ready MCP servers with Python. Learn how to build a weather forecast server from scratch, test it locally, containerize it with Docker, and understand the architectural differences from Agent Skills.