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  • Learning Path
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  • AI

Model Context Protocol (MCP)

1 Course
1 Hours
Skill IQ

Model Context Protocol (MCP) is an open standard that enables AI systems to seamlessly integrate with external tools, resources, and applications. By acting as a universal adapter, MCP simplifies how models access context and perform multi-step workflows.

This learning path covers everything from the fundamentals of MCP terminology and architecture, to hands-on practice building integrations, to advanced features like custom workflow servers and transport optimizations. You’ll learn best practices for securely deploying MCP in real-world agentic AI applications.

This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes: - Introduction to Model Context Protocol (MCP) - Model Context Protocol in Practice - Guided: Build a Simple MCP Server - FastMCP Foundations - Guided: FastMCP Foundations - Model Context Protocol: Advanced Features

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What You'll Learn
  • how to explain the purpose of the Model Context Protocol (MCP), define its key terminology, and explain how MCP enables context-driven reasoning in AI systems
  • how to set up MCP clients and servers, define and register tools, expose resources, and configure integrations from scratch
  • how to work with prebuilt MCP integrations and apply security best practices for authentication, authorization, and safe resource exposure
  • how to build custom workflow servers that orchestrate multi-step tasks and manage context across different tools and resources
  • how to use advanced transport features, including streaming, stdio, and Streamable HTTP, and evaluate tradeoffs across different methods.
Prerequisites
  • To get the most out of this course, you should have:
  • A basic understanding of AI and large language model (LLM) concepts
  • Familiarity with general software development principles and API usage
  • Working knowledge of Python programming
Related topics
  • Agentic AI
  • Generative AI
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