Build scalable AI applications with the Model Context Protocol (MCP), from single-server setups to complex systems integrated with frameworks like LlamaIndex.

Become an Agentic AI Expert

This module introduces the Model Context Protocol (MCP), a powerful framework for building scalable, real-world AI applications. We’ll explore the fundamentals of MCP’s architecture, life cycle, and communication protocols to establish a strong foundational understanding of how it operates.

Putting theory into practice, we’ll build both single- and multi-server MCP applications. Through hands-on projects, we’ll learn to structure prompts and connect resources to create context-aware systems. We will also extend MCP by integrating external frameworks like LlamaIndex and implementing retrieval-augmented generation (RAG) for more advanced agent behavior.

The module culminates in a capstone project where we’ll build a complete “Image Research Assistant.” This multimodal application combines vision and research capabilities with a fully interactive web interface. By the end of this module, we’ll have the practical skills to build and deploy complex, multi-server agentic applications using MCP.

Mastering MCP: Building Advanced Agentic Applications

Here’s a quick summary of what we learned from the “Mastering MCP: Building Advanced Agentic Applications” module.


Final Remarks

Here’s a quick summary of what we learned from the “Mastering MCP: Building Advanced Agentic Applications” module.

Foundations of Model Context Protocol

Implementing Single-Server MCP

Implementing Multi-Server MCP

Extending MCP with External Frameworks

Building an Image Research Assistant with MCP

Conclusion

Final Remarks

Summary