Model Context Protocol (MCP): Hands-On with Agentic AI

Model Context Protocol (MCP): Hands-On with Agentic AI
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 30m | 98.4 MB
Instructor: Morten Rand-Hendriksen

The Model Context Protocol (MCP) allows developers to add agent behavior to LLMs by providing a universal protocol providing context to language models so they can interface with data and applications in a consistent way. MCP servers expose resources (data), tools (actions), and prompts (instructions) for the LLM and the user to use in performing more complex operations. In this course you’ll explore how the MCP works in Claude Desktop to extend its functionality, and you’ll build your own MCP servers using Python and TypeScript to give LLMs new capabilities to do things on the computer, connect with external APIs, and perform advanced multi-step actions.

Learning objectives

• Define and understand Model Context Protocol (MCP).
• Discover available MCP servers.
• Install and use MCP servers in Claude Desktop.
• Install and use MCP servers in Cursor.
• Build custom MCP servers in Python and Typescript.

Exercise Files on GitHub

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