Model Context Protocol Foundation
Overview
Model Context Protocol Foundation is a two day intensive hands on course introducing attendees to the important and rapidly growing Model Context Protocol (MCP). As Agentic AI solutions enter production settings, interoperability with data and other services becomes critical, this course tackles these challenges through lecture, discussion and hands on lab work.
Model Context Protocol (MCP) is the defacto standard for connecting AI assistants to the systems where data lives, including content repositories, business tools and development environments. MCP aims to help frontier models produce better, more relevant responses.
Even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems. This course will give participants the skills and knowledge necessary to integrate intelligence and information, portably, safely and flexibly through MCP.
Duration
2 Days
Who Should Take This Course
Audience
Developers, Data Engineers, Dev/AI/Sec/Platform/Ops, IT Staff, Technical Managers and Architects
Prerequisites
Participants should have programming skills (preferably in Python) and basic AI experience.
Why You Should Take This Course
Upon completing the Model Context Protocol Foundation course, attendees will be able to:
- Explain the purpose of Model Context Protocol (MCP)
- Build MCP clients and servers
- Distinguish between tasks suited to prompts, resources and tools
- Expose and make use of discovery services
- Define MCP best practices
- Secure communications between involved parties
Course Outline
Model Context Protocol Foundation
Day 1
1. MCP Overview
- LAB: MCP Basics and Stdio
2. MCP Clients
- LAB: Creating MCP Clients and LLM integration
3. MCP Servers
- LAB: Building MCP Servers
4. MCP Security
- LAB: Authentication Flow in MCP
Day 2
5. MCP Session Management
- LAB: MCP session management and state handling
6. External APIs and MCP
- LAB: Exposing third party APIs via MCP
7. Debugging MCP Applications
- LAB: Debugging MCP Clients and Servers
8. Additional MCP Features
- LAB: Working with additional MCP features