Use the Model Context Protocol (MCP) to build a universal interface connecting data, services, and custom tools to AI agents.
Course details
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.
Homepage:

https://www.linkedin.com/learning/model-context-protocol-mcp-hands-on-with-agentic-ai