MCP සිංහලෙන් - Setup, Architecture & Server Integration Tutorial | Model Context Protocol

In this in-depth video, we explore the Model Context Protocol (MCP), a foundational concept in modern multi-agent AI systems that allows different AI agents or models to communicate effectively. 🏷️Code :https://github.com/HGSChandeepa/MCP 🕒 Timestamps 00:00 - What is MCP? 05:46 - MCP Architecture Overview 16:55 - Real-World MCP Server Examples 19:30 - Building Your Own MCP Server 29:55 - Connecting the MCP Server to a Client (Claude) 48:49 - Final Thoughts and Recommendations This tutorial walks you through the complete landscape of MCP—from what it is and how it works, to building and connecting your own MCP server. Whether you're an AI developer experimenting with agent collaboration or just curious about MCP, this video provides clear explanations and practical demonstrations to help you get started. What you'll learn: 1. What MCP really is and why it matters in multi-agent systems 2. The architecture of MCP, including the roles of servers and clients 3. Real-world examples of MCP servers in action 4. Step-by-step guide on creating your own MCP server 5. How to connect your MCP server to a client, including integration with tools like Claude This tutorial is aimed at developers, researchers, and tech enthusiasts interested in scalable and modular AI system design. Don't forget to like, comment, and subscribe for more tutorials on AI infrastructure and protocols. mcp protocol, model context protocol, ai protocols, mcp server, mcp architecture, how to build mcp server, connect claude to mcp, openai mcp, multi-agent systems, ai server client architecture, mcp tutorial, ai communication protocols, model context protocol explained, mcp integration, mcp server examples