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Courses/Introduction to Model Context Protocol
Model Context ProtocolIntermediate

Introduction to Model Context Protocol

Build and verify a small MCP server and client with current protocol roles, stdio and Streamable HTTP transports, bounded capabilities, and explicit trust review.

What is Introduction to Model Context Protocol?

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.

Membership course. The course overview is public. Join AcademAI to read the lessons, save progress, complete scenario tests, and earn certificates.
Join AcademAI to read the lessonsMembership unlocks full lesson access

AcademAI-original course informed by the public Model Context Protocol specification and Python SDK documentation.

This AcademAI completion certificate is not official Anthropic or Model Context Protocol certification.

Related topic hub

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.

Course Modules

1

MCP Purpose and Trust Boundary

Separate protocol interoperability from server trust

2

Architecture, Lifecycle, and Transports

Initialize capabilities over stdio or Streamable HTTP

3

Tools, Resources, and Prompts

Choose and describe the right protocol primitive

4

Build a Python Server

Expose one read-only resource and one bounded tool

5

Build and Verify a Client

Discover, call, validate, and handle failures

6

Connect a Real Service Safely

Apply scope, authentication, approval, and least privilege

7

Security and Mastery Exercise

Threat-model and verify a local MCP integration

Scenario mastery test

After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.

Take scenario test

Prerequisites

  • ✓Basic Python knowledge
  • ✓Understanding of APIs

Resources

  • https://modelcontextprotocol.io/docs/learn/architecture
  • https://modelcontextprotocol.io/specification/2025-11-25/basic/transports
  • https://github.com/modelcontextprotocol/python-sdk
  • https://modelcontextprotocol.io/specification/2025-11-25/basic/authorization
  • https://modelcontextprotocol.io/specification/2025-11-25/basic/security_best_practices

Course Information

Level
Intermediate
Est. Time
3-4 hours
Modules
7
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