MCP vs. API Explained

MCP (Model Context Protocol) is a new open protocol designed to standardize how applications provide context to Large Language Models (LLMs). Think of MCP like a USB-C port but for AI agents: it offers a uniform method for connecting AI systems to various tools and data sources. This post breaks down MCP, clearly explaining its value, architecture, and how it differs from traditional APIs. The Model Context Protocol (MCP) is a standardized protocol that connects AI agents to various external tools and data sources. Imagine it as a USB-C port - but for AI applications. The Model Context Protocol (MCP) is a standardized protocol that connects AI agents to various external tools and data sources Just as USB-C simplifies how you connect different devices to your computer, MCP simplifies how AI models interact with your data, tools, and services. Traditionally, connecting an AI system to external tools involves integrating multiple APIs. Each API integration means separate code, docum ... Read full article.