Building Secure AI Agents with Model Context Protocol (MCP) - A Claude Implementation Guide

Learn to implement Anthropic's Model Context Protocol (MCP) in this 39-minute coding tutorial that demonstrates how to build secure connections between Claude LLMs and external tools. Explore the fundamental differences between LangChain and MCP Server architectures while focusing on security considerations for AI agents. Code along to create an MCP server using the Python SDK, implement internet search capabilities, and develop SQLite integration. Master key MCP concepts including host-client-server architecture, protocol layers, resources, prompts, tools, and sampling. Gain hands-on experience building a secure protocol implementation that enables AI models to safely interact with data sources and external APIs. Perfect for developers interested in AI security and those looking to enhance their understanding of modern AI infrastructure design.