Udemy – MCP & A2A – Model Context Protocol & Agent to Agent Protocol 2025-4
Udemy – MCP & A2A – Model Context Protocol & Agent to Agent Protocol 2025-4 Downloadly IRSpace
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MCP & A2A – Model Context Protocol & Agent to Agent Protocol, This comprehensive course introduces participants to the basics of the Model Context Protocol (MCP) and enables them to gain the conceptual understanding necessary to work with this powerful protocol. During this course, participants will implement a hands-on MCP server using the Python programming language on macOS. The server will be connected to Claude Desktop and will demonstrate how to interact with external tools via MCP. As part of this quickstart, participants will build and test a utility that executes terminal commands via MCP using Claude Desktop.
Building on this knowledge and experience, participants will then be guided through the development of a custom MCP client using Python and integrate it with Google’s powerful Gemini API. Using a free Gemini API key provided by Google, they will connect their client to the deployed MCP server and invoke tools just like Claude Desktop. This process will provide participants with a deep understanding of how MCP communications and client-server interactions work. Additionally, the course will explore the possibility of using Docker to containerize the MCP server and will teach how to use Google’s free Gemini API key to build an MCP client. Finally, participants will learn how to build a secondary MCP client using the LangGraph and LangChain libraries, which provide more advanced capabilities for interacting with language models. By providing a practical, step-by-step approach, this course enables participants to quickly gain a thorough understanding of MCP and develop application systems based on this protocol.
What you will learn
- Understand the basic architecture and flow of the Model Context Protocol (MCP) and its client-server architecture.
- Learn how to build and run an MCP server using the Python programming language.
- Ability to connect and communicate with your custom MCP server to Claude Desktop software.
- How to get and configure a free API key for Google’s Gemini service.
- Developing a Python-based MCP client that leverages the power of Google’s Gemini API.
- Testing the interaction between the client and the server to execute real operating system commands.
- Learn how to use Docker to package and run the MCP server in a containerized environment.
- Learn how to build a secondary MCP client using the LangGraph and LangChain libraries for more complex interactions with language models.
This course is suitable for people who:
- Developers of AI agents who seek to understand and use modern communication protocols.
- Software engineers interested in learning how to integrate different systems using the MCP protocol.
- Entrepreneurs looking for a quick and practical start to familiarize themselves with MCP and its applications in their projects.
MCP & A2A – Model Context Protocol & Agent to Agent Protocol Course Details
- Publisher: Udemy
- Instructor: Kartik Marwah
- Training level: Beginner to advanced
- Training duration: 3 hours and 19 minutes
- Number of lessons: 61
Course Content on 2025/5
MCP & A2A – Model Context Protocol & Agent to Agent Protocol Course Prerequisites
- Basic Python
- Basic familiarity with LLMs like Google Gemini/Claude
- Code WalkThroughs Included, no in-depth experience needed
- Course recorded using MacOS. Windows users can follow at their discretion
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Previous title:
MCP – Model Context Protocol Quickstart
Changes:
Version 2025/4 compared to 2025/3 has increased by 49 lessons and 2 hours and 34 minutes in duration.
Download link
File(s) password: www.downloadly.ir
File size
2.08 GB
