This repository provides a free, four-unit course on the Model Context Protocol (MCP), designed for AI practitioners and software developers. It aims to teach users how to integrate AI models with external data and tools, culminating in a practical project.

How It Works

The course progresses from foundational MCP concepts to practical implementation using SDKs and frameworks. It covers MCP's role in connecting AI models with external resources, delves into advanced features and architecture, and explores real-world integration patterns.

Quick Start & Requirements

• Prerequisites: Basic understanding of AI/LLM concepts, software development principles, API concepts, and familiarity with Python or TypeScript.
• Access: Course content and sign-up links are listed as "Coming Soon."

Highlighted Details

• Covers practical development of MCP clients and servers.
• Includes a deep dive into MCP architecture and integration patterns.
• Offers bonus units on special topics and collaborations.

Maintenance & Community

• Open to contributions via issues and pull requests for typos, grammar fixes, or new unit proposals.

Licensing & Compatibility

• No license is explicitly stated in the README.

Limitations & Caveats

The course content and sign-up links are currently marked as "Coming Soon," indicating the material is not yet available. The repository does not specify a license, which may impact commercial use or integration.