MCP Bootcamp: Build AI Agents with Model Context Protocol

Build Production-Ready Model Context Protocol (MCP) Solutions - From Zero to Deployment

If you want to understand, integrate, implement, publish, secure and deploy Model Context Protocol (MCP) solutions to production, this course is for you.

Why start learning MCP today? Model Context Protocol is Anthropic's new standard (launched November 2024) that's quickly becoming essential for AI development. Early adopters are already building the next generation of AI applications - and you can too.

This course delivers what many others don't - genuine hands-on experience developing, integrating and deploying MCPs for AI applications. You'll walk away with both the conceptual understanding and practical tools to tackle real-world Model Context Protocol challenges.

What You'll Actually Build:

• Working MCP servers that connect to Claude Desktop, Cursor and Python

• Production-ready integrations with OpenAI and other LLMs

• Secure, deployable Model Context Protocol solutions

  
  

Feedback from Students:

• "The course structure works brilliantly*, starting with essential MCP foundations and methodically building toward practical applications." - Daniel

• "Zoltan does a great job at breaking down the Model Context Protocol concepts so it's easy to learn and build up your knowledge as you go." - Jose

• "Although I had some exposure to AI agents before, I still learned a lot about MCPs that I can use in my daily work. - Stefan

Why Model Context Protocol (MCP) matters: MCPs solve a critical problem in the multi-LLM world by creating standardized ways for AI models to interact with external systems. This MCP bootcamp takes you from fundamental Model Context Protocol concepts and third-party MCP integration to implementation of real-world projects at every step.

Course Structure: This course follows a hands-on, practical approach to Model Context Protocol. We start with the theoretical foundations to understand MCPs in context, then quickly move to building real working MCP applications.

THEORETICAL SECTION:

• How LLM interactions and tool calling work with MCPs

• The problem Model Context Protocol solves in a multi-LLM world

• Core MCP concepts and architecture

• Model Context Protocol features: Tools, Prompts, and Resources

• Where MCPs fit in the AI ecosystem

PRACTICAL SECTION:

• Complete MCP development environment setup for Mac & Windows

• Working with MCP hubs and global providers

• Integrating Model Context Protocol with Claude and Cursor

• Step-by-step creation of your own Crypto Price MCP

• Working with MCP Tools and Resources

• Testing and debugging MCPs with MCP Inspector

• Integrating Model Context Protocol into LangChain, LangGraph and LangSmith

• Building Python and JavaScript-based MCPs

• Deploying Model Context Protocol solutions to Production

• Securing MCPs with OAuth

• Deploying Secure Model Context Protocol to Cloudflare Workers

ADVANCED SECTION:

• Integrating MCPs with OpenAI Agents and the Responses API

• Dockerizing MCPs and Docker-based Production Deployment

• Performance optimization for production MCPs

• Enterprise-grade error handling

FUTURE-READY:

• A sneak peek into Anthropic's MCP Roadmap

• The future of Model Context Protocol development

• Preparing for upcoming MCP features

Ready to master the newest AI protocol? Join developers and AI enthusiasts already building with MCP and transform your AI development skills with Model Context Protocol today!