MCP – Model Context Protocol — a modular design architecture that structures your AI app - part 8

⚙️ In Part 2 of the LangChain Agents series, we dive deep into the **MCP pattern – Model Context Protocol** — a modular design architecture that structures your AI app around powerful and scalable components. Inspired by the ideas in my article, this video breaks down how to organize your LangChain-based systems into clean, reusable layers such as client, server, tool, memory, LLM, and control plane. 📘 Read the full article: https://cholakovit.com/en/ai/langchain/agents ✅ Covered in this video: • What is the MCP (Model Context Protocol)? • Why it matters for complex agent-based systems • Core layers: client → server → tool → LLM → memory → control • How MCP enhances debugging, scalability, and maintainability • Visual examples + when to use this in your LangChain apps 💡 Ideal for developers and AI engineers building modular, production-grade LLM applications with LangChain and OpenAI. ▶ Watch Part 1 (Intro to LangChain Agents): https://www.youtube.com/your-link-to-part1 ▶ More tutorials & code: https://cholakovit.com/en/ai/langchain --- 📌 Hashtags: #LangChain #MCP #ModelContextProtocol #LangChainArchitecture #LangChainAgents #GPT4 #OpenAI #AIEngineering #LangSmith #LangGraph #LLM 📂 Playlist: “LangChain in Action – Build AI Apps Fast”