MCP Servers Explained: How AI Assistants Connect to Your Tools (With Examples)

If you've used Claude, Cursor, or Windsurf recently, you've probably seen "MCP" mentioned. But most explanations are either too abstract or too deep in the spec. Here's the practical version. What Is MCP? Model Context Protocol is a standard that lets AI assistants use external tools. Think of it as USB for AI: Before MCP: AI → custom integration → Tool A AI → different integration → Tool B AI → yet another → Tool C With MCP: AI → MCP → Any Tool One protocol, infinite tools. Why Should You Care? If you build tools, APIs, or services — MCP lets AI assistants use them directly. Your users can say "search my database" or "create a ticket" and the AI handles it. If you use AI assistants — MCP gives them superpowers. Instead of copy-pasting between tools, the AI does it for you. A Simple MCP Server in Python from mcp.server import Server from mcp.types import Tool , TextContent import requests server = Server ( " weather-server " ) @server.tool () async def get_weather ( city : str ) -> lis