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Courses/Introduction to Model Context Protocol (MCP)

Introduction to Model Context Protocol (MCP)

Course

A comprehensive, hands-on course on the Model Context Protocol (MCP) — the open standard that connects Claude and other AI applications to external tools, data, and workflows. Learn MCP's architecture (host, client, server), the data and transport layers, JSON-RPC messaging, and the three server primitives (tools, resources, prompts), then build and test your own MCP server and client with the Python SDK. Covers client primitives, transports, security, and production patterns. Accurate to MCP spec 2025-06-18. Free to start.

5 sections|21 lessons|0/21 completed
1What Is the Model Context Protocol?2MCP Architecture: Host, Client, and Server3The Data Layer: JSON-RPC and Capabilities4Transports: stdio and Streamable HTTP
5Connection Lifecycle and Capability Negotiation6The End-to-End Request Flow
7Tools: Giving Claude New Abilities8Resources: Exposing Read-Only Data9Prompts: Reusable, High-Quality Workflows10Choosing the Right Primitive
11Building a Server with the Python SDK12Testing with the MCP Inspector13Building a Client That Drives the Server14Reading Resources in the Client15Prompts in the Client
16Client Primitives: Sampling, Elicitation, and Logging17Remote Servers with Streamable HTTP18Authorization and Security19Using MCP in Claude Desktop and Claude Code20Going to Production: Reliability and Debugging21Course Review and Exam Tips