This article details the background and origins of MCP, its relationship with OpenAI Function Calling, and how to configure and use MCP Servers in Cursor. It explores practical scenarios like web automation, GitHub repository analysis, and chart generation. While MCP shows impressive capabilities in GitHub code analysis, web manipulation still has limitations. The article also highlights MCP's core constraint: its reliance on the LLM's function calling ability, which is affected by token limits. Although MCP offers a standardized solution for AI tool invocation, its practical value is currently limited, positioning it more as an experimental technology with hopes for significant improvements as model capabilities advance.