Development1-3 days depending on depth • Hybrid • 4-15 participants

MCP Model Context Protocol Workshop

Integrate AI seamlessly into your software with the Model Context Protocol

The Model Context Protocol (MCP) is a revolutionary open-source standard that fundamentally simplifies the integration of AI into software applications.

Workshop Leader

Haris Yalcinkaya

Free initial consultation View packages

Siemens

Workshop Overview

The Model Context Protocol (MCP) is revolutionizing the integration of AI into software products, making applications smarter and more user-friendly. In Ziya's MCP Workshop, you'll learn how to use this open-source standard to equip your software with powerful AI capabilities. You'll see the complete MCP architecture, from server implementation to client integration. You'll learn how to create MCP servers that provide context and make tools available, as well as how to integrate them into your applications. The workshop combines theoretical knowledge with extensive hands-on sessions and real-world use cases. After completion, you'll master MCP integration and can equip your products with AI features that provide real value. Position your software in the AI era and create competitive advantages through intelligent features.

Your benefits

What you can expect from this course

Faster AI integration into products
Standardized and maintainable architecture
More attractive features for customers
Future-proof technology

What you'll have after the workshop

Concrete results and deliverables

Working MCP server for your use case
Integrated demo application
Complete architecture documentation
Implementation roadmap for your product
Best practices for your team
Security concept for AI integration

About this workshop

The Model Context Protocol (MCP) is a revolutionary open-source standard that fundamentally simplifies the integration of AI into software applications. Developed by Anthropic, MCP enables developers to seamlessly connect their applications with large language models like Claude, creating intelligent, context-aware features. In this hands-on workshop, you'll learn how to use MCP to enrich your software products with AI functionalities. From architecture through integration to implementation: Ziya shows you how to harness the full potential of MCP and make your applications significantly more attractive to customers. Ziya's experienced trainers will teach you not only the technical fundamentals but also best practices for scalable MCP architectures and effective AI integration into existing systems.

Objectives

Master MCP architecture and integration
Develop your own MCP servers for your applications
Integrate MCP into existing software products
Design scalable and secure AI product architectures

Learning Outcomes

Understanding of MCP architecture and protocol specification
Ability to develop your own MCP servers
Competence in client-side MCP integration
Best practices for scalable AI product architectures
Security aspects in AI integration

How Ziya works

1Hands-on development of MCP servers
2Live integration into real applications
3Architecture workshops for your product
4Code reviews and pair programming
5Practical exercises with real scenarios

Deliverables

Functional MCP server for your use case
Integrated client application with MCP
Architecture blueprint for your product
Best practice documentation
Code templates and samples

Workshop Details

Target Audience

Software developers, product managers, solution architects, and tech leads who want to integrate AI functionalities into their products

Format

Hybrid

Duration

1-3 days depending on depth

Group Size

4-15 participants

Prerequisites

• Programming experience in at least one language (Python, TypeScript, etc.)
• Basic understanding of APIs and client-server architecture
• Interest in AI integration
• Own laptop with development environment

Agenda

• Day 1: MCP fundamentals and architecture
• Day 2: Server development, integration and product architecture

Tools & Methods

• MCP SDK
• TypeScript/Python
• Claude API
• Docker
• VS Code with MCP extensions

Typical day schedule

09:00-09:30Introduction and overview

09:30-11:00Understanding MCP architecture

11:00-11:15Coffee break

11:15-12:30Hands-on: First MCP server

12:30-13:30Lunch break

13:30-15:00Client integration

15:00-15:15Coffee break

15:15-16:30Product architecture workshop

16:30-17:00Q&A and next steps

Ziya's Work in Action

Free initial consultation

Your Expert

Haris Yalcinkaya

M.Sc. Computer Science, TU Dortmund

Founder, Speaker, Senior AI Consultant-Developer

Expertise & Qualifications

Master's degree with distinction (1.0) in Computer Science
Strategic Consulting
Consulting and implementation for more than 10+ medium-sized companies and corporations
Master thesis in AI and XR on: Rendering-assisted Deep Learning for Reconstruction of Physically-Consistent Scenes