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(MCP) Model Context Protocol - Part 2 - Architecture Deep Dive

This video provides a technical deep dive into the architecture of the Model Context Protocol (MCP) — an open protocol for managing context and communication between AI models, clients, and systems.

🔧 Topics Covered:

MCP Host, Client, and Server roles
Transport Layer: stdio, streamable HTTP
Data Layer: lifecycle management, notifications, and communication primitives
Server-client abstractions in context-aware AI
Extensible design patterns for interoperable AI systems

Whether you're building multi-agent systems, working on large model orchestration, or exploring standardized AI protocols, this video gives you the architectural insights needed to understand MCP's layered approach.

🧠 Ideal for: AI infrastructure engineers, systems architects, and protocol designers.

Pre-requisite
(MCP) Model Context Protocol - Part 1 - Overview -    • (MCP) Model Context Protocol  - Part 1 of ...  

Watch other parts of the series:
Part 1 - Overview -    • (MCP) Model Context Protocol  - Part 1 of ...  
Part 2 - Architecture Deep Dive -    • (MCP) Model Context Protocol  - Part 2 of ...  
Part 3 - Server Deep Dive -    • (MCP) Model Context Protocol - Part 3 of 1...  
Part 4 - Build Server -    • (MCP) Model Context Protocol - Part 4 of 1...  
Part 5 - Client Deep Dive -    • (MCP) Model Context Protocol - Part 5 of 1...  
Part 6 - Build Client -    • (MCP) Model Context Protocol - Part 6 of 1...  
Part 7 - Server Tool Name -    • (MCP) Model Context Protocol - Part 7 of 1...  
Part 8 - StreamableHttp Stateless Server -    • (MCP) Model Context Protocol - Part 8 of 1...  
Part 9 - MCP Inspector -    • (MCP) Model Context Protocol – Part 9 of 1...  
Part 10 - OAuth -    • (MCP) Model Context Protocol – Part 10 of ...