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How to Vibe Code MCP Server in 10 Minutes with AI and Cursor
And Why You Should Build One
You might have heard the buzz around a new protocol called MCP (Model Context Protocol). It’s being touted as the game-changer for how AI models connect to data and tools — think of it like the universal API standard but built specifically for the AI era.
Claims like universal standard and game-changing always pique my interest, especially when they promise to simplify complex integrations. As someone who uses AI daily, I wanted to see if MCP lived up to the hype and how quickly someone could actually get started.
So, I set myself a challenge:
Could I build not just one but two functional MCP servers in roughly 10–15 minutes, even starting with minimal MCP knowledge?
And could I leverage AI tools to make it even faster?
Spoiler alert: Yes
The process revealed just how powerful MCP (and modern AI coding assistants) can be.
This article walks you through exactly how I did it, step by step.
If you prefer to watch instead of reading, feel free to check the video version here:
First Off, Why Does MCP Even Matter?
Before diving into the build, let’s quickly touch on why MCP is generating excitement.
Imagine building web apps back before APIs became standard. Every connection to another service (like payments, maps, or social media) would need custom, bespoke code. It was messy, slow, and incredibly inefficient. APIs changed everything by providing a standardized way for software to communicate.
