MCP Learning Guide

Master the Model Context Protocol (MCP), the open standard that lets AI assistants and LLM applications connect to external tools, data sources, and services through a standardized client-server protocol built on JSON-RPC. Introduced by Anthropic in late 2024, MCP became one of the hottest topics in AI development through 2025, powering agents, IDEs, and enterprise tooling. This complete course is built for developers, AI practitioners, and curious learners.

Eight modules take you from first principles to production: (1) Introduction to MCP & AI Tool Integration, (2) Core Concepts: Servers, Clients & Sessions, (3) JSON-RPC Messages & Protocol Basics, (4) Tools, Resources & Prompts, (5) the Transport Layer (stdio, SSE, Streamable HTTP), (6) Authentication & Security Models, (7) Building Your Own MCP Server, and (8) MCP in Practice: Agents, IDEs & Ecosystem.

Each module delivers rich, self-contained lessons that explain both the concepts and the practical implementation details behind them. Five interactive quizzes with 125 questions in total challenge and reinforce your understanding, while a 100-term glossary gives you a ready reference for the essential vocabulary of the field.

What you will gain: a durable mental model of client-server roles and the tool-calling loop, the skill to configure existing servers, the ability to read and debug real JSON-RPC session traces, a strong understanding of transports and OAuth-based security, and a practical path to building your own MCP server. No prior MCP experience is required, though a basic familiarity with JSON and AI concepts helps.

This is an unofficial educational application and is not affiliated with, endorsed by, or sponsored by the referenced brand or organization.

Recent changes:
First release of the MCP Learning Guide: 8 modules, 5 quizzes (125 questions), a 100-term glossary, and full English-language course content covering the architecture, protocol, transports, security, and real-world use of the Model Context Protocol.