Meet MCP: The "USB-C of AI Integrations"
Ever wish your AI agents could smoothly connect to any tool, file, or service—without custom hacks or endless glue code? That’s exactly what MCP does.
Vivek Rastogi
8/27/20251 min read


What is MCP?
MCP (Model Context Protocol) is like a translator and coordinator between AI models and tools.
It doesn’t create AI itself.
Instead, it helps AI talk to different apps, data sources, or APIs in an organized way.
Think of it as a universal “plug board” for AI:
You plug in your AI model on one side.
You plug in your apps (like Google Sheets, CRMs, databases, APIs) on the other.
MCP makes sure they understand each other.
Why do we use MCP?
Without MCP, connecting an AI model to real-world tools is messy:
You’d have to write custom code for every connection.
Each app has a different API (language), and AI can’t understand them automatically.
MCP solves this by providing a common format.
The AI says: “I need customer data.”
MCP fetches it from CRM in a way AI can understand.
Simple Example
Imagine you run a bakery and you want AI to manage orders:
AI model → understands “Get today’s cake orders.”
Your order system → has its own complicated way of giving data.
MCP → stands in the middle and says:
“Hey Order System, give me today’s data.”
“Hey AI, here’s the data in a format you understand.”
The AI can then process it, analyze which cakes are selling best, and even trigger automated emails — without you coding every step.
Features of MCP
Standardized communication — all apps/tools use the same “language.”
Scalable — add new tools without rewriting everything.
Secure — handles authentication and data exchange safely.
Lightweight — doesn’t slow things down.
Flexible — works with any AI model (OpenAI, Anthropic, local LLMs).
Advantages of MCP
Faster integrations → no need to reinvent the wheel each time.
Reduced cost → fewer developers needed to wire up systems.
More reliable → fewer errors than custom scripts.
Future-proof → easily switch AI models without breaking connections.
How is it different from tools like n8n or Zapier?
n8n/Zapier → drag-and-drop automation for humans.
MCP → machine-to-machine protocol designed for AI models, not people.
In short, n8n helps you automate tasks, MCP helps AI automate tasks.