MCP servers vs. skills: Choosing the right context for your AI

This blog post discusses the importance of context for Large Language Models (LLMs) and compares two approaches to enhance their capabilities: Model Context Protocol (MCP) servers and skills. MCP servers facilitate structured communication between AI agents and external data sources, allowing better interaction and automation through a unified interface. Skills, on the other hand, offer reusable, consistent instructions to guide LLMs in performing specific tasks better. The article explains when to use each approach and emphasizes that combining both can optimize workflows in AI applications, especially in environments like DevOps.