MCP stands for Model Context Protocol. An MCP server is a lightweight process that exposes tools, resources, and data to an AI agent — giving it the ability to interact with the outside world. Without MCP, an AI model lives inside a conversation. It can read what you type and respond. That's it. With an MCP server, the same model can query a database, read files from your filesystem, call an external API, execute code, search the web, check your calendar, and push commits to GitHub — all within a single conversation, autonomously, without you doing any of it manually. MCP is the bridge between AI reasoning and real-world action. It is why the shift from AI chatbots to AI agents happened so fast in 2025-2026. Why MCP exists Before MCP, every team that wanted to connect an AI model to an external tool built their own integration. Different schemas, different transport formats, different authentication patterns. A company using three AI models and five internal tools needed fifteen custom integrations.…