AI Agent Development with Model Context Protocol and TypeScript

Integrating large language models with external tools and data sources is the key to building truly useful AI applications. This text-based course guides you through creating robust AI agents that can interact with their environment dynamically and safely. By working through this written guide, you will transition from understanding basic prompts to engineering production-ready agents. You will discover how to use the Model Context Protocol (MCP) to standardize how your agents read files, query databases, and call APIs. What you'll learn: - Understand the foundational architecture of AI agents and the Model Context Protocol (MCP) - Configure MCP servers and clients to establish secure, bidirectional communication - Build custom tools and resources using TypeScript to extend agent capabilities - Apply structured JSON outputs and strict TypeScript typing to ensure agent reliability - Implement secure agent execution patterns to safely handle external data and system commands You will start with the core concepts of agentic workflows and protocol standards before diving into step-by-step implementation. Through clear written explanations and practical code snippets, you will learn to architect, write, and test your own custom agents. This course is designed for developers and tech enthusiasts with a basic grasp of TypeScript who want to enter the world of AI engineering. No prior experience with AI APIs or agent frameworks is required. Start reading today to unlock the potential of standardized AI agent integration.