Learn to build MCP servers and clients from scratch using Python. Master MCP's three core primitives: tools, resources, and prompts.
Introduction to Model Context Protocol is an AcademAI intermediate course in the Model Context Protocol path for learners who want practical AI capability instead of passive tool exposure. It belongs to the Claude and Claude Code Training topic hub. The course includes 7 modules and an estimated workload of 3-4 hours. Start with the free AI Fluency foundation course before checkout; paid membership unlocks full access to this course and the broader catalog. The course is designed for professionals, students, educators, builders, and teams choosing a focused AI workflow. Learners should expect prerequisites such as Basic Python knowledge; Understanding of APIs. Core outcomes include practical AI fluency, safer workflow design, and human review habits. AcademAI course material is source-informed by public provider documentation where relevant, but the lessons, exercises, scenario mastery tests, and completion certificates are independently written by AcademAI and are not official provider certifications.
This course is part of Claude and Claude Code Training, AcademAI's crawlable guide to the audience, outcomes, prerequisites, source policy, and recommended course sequence for this topic.
Protocol concept and purpose
Core concepts and design
Three core primitives
Server implementation
Client implementation
Real-world integrations
Safe MCP development
After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.
Take scenario test