AI Skills & MCP Server Development

Build custom skills and MCP servers and connect Claude Code, Open Code, and GitHub Copilot to your internal systems and APIs.

NEW

Intermediate

Agentic AI Engineering

2 days

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What you will learn in this course

WHY THIS COURSE IS A GAMECHANGER: Teams often struggle to extend AI assistants beyond their standard functions. This means missing out on the opportunity to connect AI with smart and effective internal systems. In this training, we show you how to develop custom skills and MCP servers and turn your AI assistant into a powerful interface for your entire toolchain.

ABOUT THIS COURSE: Our comprehensive 2-day training provides engineering teams with practical skills for extending AI assistants through custom skills and Model Context Protocol (MCP) servers. You'll learn to evaluate and deploy existing MCP servers, develop custom skills for Claude Code, Open Code, and GitHub Copilot, and create your own MCP servers that connect AI assistants to internal REST APIs and enterprise systems.

In extensive hands-on labs, you will develop a working MCP server that connects to an API of your choice and can serve as a template for future integrations. Whether you want to connect AI to databases, internal tools, or proprietary systems, this training provides the foundation.

Agenda

Skills & MCP Overview

MCP Architecture Deep Dive

Finding & Evaluating Servers

MCP Server Installation

Building Custom Skills

MCP Server Development

Testing & Debugging

Enterprise Integration Patterns

Security Considerations

Hands-On Labs

audience

This course is designed for

Software engineers extending AI assistants with custom capabilities
DevOps and platform engineers connecting AI to infrastructure tools
Tech leads evaluating MCP adoption for their teams

prerequisites

To get most out of this course, you should have:

Basic experience with AI coding assistant (like Claude Code, Open Code, or GitHub Copilot)
Basic proficiency in Python, TypeScript, or Go for server development
Basic understanding of REST APIs and JSON

style

Our trainers have years of experience and will deliver the right mix of:

Interactive lectures with live demonstrations
Hands-on labs
Architecture discussions and code reviews
Q&A sessions

Technical requirements

We recommend the following equipment:

Stable internet connection
Access to AI assistant (Claude Code, Open Code, or GitHub Copilot)
Modern web browser (Chrome, Firefox, Edge, etc.)

Need more than training?

Training is often a first step. Many teams realize they need support beyond the course to make things work in production, speed up the process or bridge short-term bottlenecks..

Explore Consulting Solutions

We can support you beyond training, through hands-on consulting, project collaboration, or as an embedded enablement team, we are helping you apply what you learned, validate decisions, and move forward with confidence.

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