Model Context Protocol was developed by Anthropic, the company that developed Claude. MCP is an open protocol that enables AI assistants to securely connect with external data sources, tools, and services through a standardized interface.
The Model Context Protocol (MCP) is designed as a universal connector, and its use cases extend far beyond simple data fetching into powerful applications across business operations, development, and specialized industries.
The Model Context Protocol tutorial is prepared for students, engineers, and professionals. This tutorial will be useful for understanding the AI agent concepts for AI enthusiasts.
Note: This tutorial demonstrates how to use MCP with Cursor AI, using Firecrawl MCP for the web scraping use case.
Course Lessons
Section A: MCP Introduction and Use Cases
- What is MCP and the problem it solves
- Traditional API Approach vs MCP
- Benefits of MCP for AI Development
- Real-World Use Cases of MCP
Section B: MCP Architecture
- What is MCP Architecture
- MCP - Servers, clients, and transports
- Standard vs Custom MCP servers
Section C: MCP Live Running Example
- Web Scraping – Building with Existing MCP Server
Note: We will perform web scraping with cursor