Apr 10 2026, Python 3, JavaScript, macOS , Home windows, VS Code
Discover ways to construct actual purposes with the Mannequin Context Protocol (MCP), from first ideas to superior integrations. On this course, you’ll begin by understanding the core MCP structure and constructing your first server with Python and FastMCP. You’ll then add Instruments, Assets, and Prompts, examine them with MCP Inspector, and transfer on to constructing customized MCP purchasers that may work programmatically with LLMs via the Anthropic API.
From there, you’ll discover superior options corresponding to Elicitation for human-in-the-loop workflows, Roots for filesystem safety, and Sampling for client-side AI execution. Lastly, you’ll convey every thing collectively by constructing a full-stack ChatGPT App that serves a React frontend from a Python MCP backend utilizing the OpenAI Apps SDK.
By the tip of the course, you’ll perceive how MCP hosts, purchasers, and servers match collectively, methods to design dependable software schemas and assets, and methods to ship MCP-powered experiences that work in desktop purchasers, customized packages, and ChatGPT.
By arjuna sky kok.
