Building an MCP Server from Scratch and Debugging Claude Client Integration

This is two part series on Model Context Protocol (MCP) – Full Walkthrough: Server & Client Integration with Claude Welcome to this technical introduction to the Model Context Protocol (MCP)—a framework designed to facilitate context sharing and communication between AI models and clients. In this video, we walk through the end-to-end process of setting up and using MCP in a practical scenario. Part -1 Topics Covered: What is MCP? A quick conceptual overview of the Model Context Protocol and why it's crucial for LLM integration. Build the MCP Server Step-by-step demonstration of setting up the MCP server to handle requests and maintain context. Connect with Claude Client Learn how to integrate Anthropic’s Claude with the MCP server for context-aware interaction. Working Scenario Watch the protocol in action: observe how messages are passed, context is maintained, and the server-client architecture behaves under load. Part -2 will cover: Build MCP Client Develop a fully functional MCP client capable of sending messages, retrieving responses, and syncing with server memory. Connect Client and Server See how everything comes together: server and client communications, context management, and validation with Claude’s responses. Who is this for? AI engineers and developers working with LLMs Architects designing multi-model AI systems Anyone interested in context persistence and dynamic prompt orchestration