2 hours ago · 6 min read1175 words · Tech · hide · 0 comments

MCP (Model Context Protocol). At this point, you might have come across this term if you’ve worked with any kind of AI agent. But if you still haven’t, here’s a quick refresher on what it is and why it’s important. In simple terms: MCP is like a USB-C port for AI. Instead of building a custom connection for every app or database, MCP gives AI a standard way to connect to external tools. For example, imagine an AI assistant that needs to: Read files from Google Drive Check your calendar Query a company database Use GitHub Search a knowledge base With MCP: The AI knows how to talk using the MCP standard. The tool (Google Drive, GitHub, a database, etc.) provides an MCP server. They can communicate without needing a unique integration every time. So, essentially, Model Context Protocol (MCP) is an open protocol that standardizes how AI models and applications communicate with external tools, data sources, and services by defining a common client-server interface. Now, let’s talk about…

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