Model Context Protocol Servers and AI… What???

Model Context Protocol (MCP) servers are reshaping how AI systems interact with the world. Think of them as standardized “ports” that let AI tools securely and intelligently plug into other systems, whether it’s file storage, databases, productivity tools, or developer environments. As the AI ecosystem matures, these servers are becoming critical infrastructure, quietly powering some of the most advanced capabilities in tools like Claude, Copilot, and Replit’s Ghostwriter.

This post digs into the Model Context Protocol (MCP), how servers implement it, why it’s becoming the USB‑C of AI, and what it means for developers building the next generation of intelligent apps.

Takeaways on ChatGPT Codex

This article explores how software developers can integrate ChatGPT Codex into their development workflows, from initial code generation to pull request creation. Codex is OpenAI’s code-focused large language model, capable of reading and writing code, generating test cases, and interacting with GitHub repositories. We explain how to get the most out of Codex by combining it with unit tests and test-driven development (TDD), ensuring reliable and verifiable results. Drawing on real-world advice from Simon Willison, we emphasize why automated testing is not just a complement but a critical enabler of safe and effective AI-assisted software engineering.