What Is MCP and Why It Matters
Understand what the Model Context Protocol standardizes, how it differs from ad-hoc function calling integrations, and why it is becoming the lingua franca for AI tool connectivity.
The Tool Integration Problem
Every AI assistant today solves the same problem differently: how do you connect an LLM to your databases, APIs, files, and services? Without a standard, every integration is a custom one-off — OpenAI function calling works differently from Anthropic's tool use, which works differently from Gemini's. Developers rebuild the same adapters over and over.
What Is the Model Context Protocol?
Model Context Protocol (MCP) is an open standard created by Anthropic that defines a common interface for connecting LLMs to external data sources and tools. Think of it like USB for AI integrations — once a tool or data source implements the MCP server spec, any MCP-compatible AI client can use it without custom code. Announced in November 2024, it has rapidly gained adoption across the industry.
All lessons in this course
- What Is MCP and Why It Matters
- Building Your First MCP Server
- Exposing Database Resources via MCP
- MCP Security and Authentication