English | Size: 287 MB
Genre: eLearning
Model Context Protocol (MCP) 101. This course provides a thorough introduction to the standard, its importance, and how to build MCP servers. The protocol is designed to facilitate communication and data exchange between AI models and external systems. The course begins by explaining the basic concepts and architecture of MCP, and then walks you through creating a basic server in detail. It then moves on to more advanced topics such as integrating large language models, developing custom tools, managing resources, and configuring prompts. Upon completion of this course, students will be able to deploy MCP servers that allow them to connect to platforms such as Claude and Cursor, as well as leverage existing servers in the open source community. This expertise is essential and practical for developers and IT professionals who want to enhance the interoperability capabilities of their AI applications.
What you will learn
Introduction to MCP:
What is MCP and its role in the Artificial Intelligence (AI) ecosystem.
Understanding the big picture and why MCP is important.
Understanding the key components of MCP.
Building the first MCP server:
How to use MCP Docs.
How to set up the environment required to build a server.
Quick start with the weather server (Weather Server Quickstart).
How to connect to Claude and connect to Cursor.
Building MCP servers with LLMs:
Building the Core Server.
How to add tools to the server.
How to add the required resources.
How to add prompts to the server.
Using MCP Community Servers:
Introduction to the MCP Filesystem Server using Claude Desktop.
This course is suitable for people who:
Artificial Intelligence (AI) developers and engineers looking to learn how Large Language Models (LLMs) interact with external environments.
Information Technology (IT) professionals who want to understand the model context protocols and how to build the infrastructure associated with it.
People who plan to build their own MCP servers and connect to them through various platforms such as Claude or Cursor.
Students and researchers working in the field of artificial intelligence (AI) models and the connections between them.
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