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Model Context Protocol (MCP): Hands-On with Agentic AI
This is the repository for the LinkedIn Learning course Model Context Protocol (MCP): Hands-On with Agentic AI. The full course is available from LinkedIn Learning.

Course Description
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.
Instructions
You can work with these files in GitHub Codespaces or in an editor on your computer.
To run the MCP servers in development mode using the MCP Inspector and test them in Claude Desktop and Cursor, you need to clone the repository to your computer.
Contents
This repository contains folders with supporting files for the course.
Example MCP Servers
Hands-on Practice
- : Starting point for "Building an advanced MCP server using TypeScript"
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