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Mastering Model Context Protocol (MCP)
Summary
Discover the essentials of Model Context Protocol (MCP). Learn how to implement a project using the principal components of MCP: the server and the client.
Model Context Protocol (MCP) is trending as a must-know protocol for working with LLMs and tools. MCP was introduced in November 2024, and since then, it’s become the standard of most large LLM players, including OpenAI and Google, as well as many other enterprises. An ideal fit for data scientists, AI engineers, and ML engineers, this course covers the essential challenges of tool integration with LLMs, customizing settings, verifying server operation, and implementing security best practices. Along the way, instructor Jonathan Fernandes outlines key considerations such as resource registration, server configuration, debugging interactions, and using Docker for containerization.