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Learn Model Context Protocol with Python

Build agentic systems in Python with the new standard for AI capabilities

CN

Created by Christoffer Noring

Discover how to build smarter, scalable Python applications by mastering the Model Context Protocol. You'll learn to develop, integrate, and deploy AI-powered systems that are ready for real-world use. Gain practical skills for creating robust agentic apps that work seamlessly across different platforms.

Packt | Oct 2025 | 304 min

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LevelIntermediate
CategoriesLLM Engineering, Deep Learning Architectures and Frameworks, Python

What You Will Learn

You'll work through practical projects that guide you from building MCP servers to integrating intelligent clients and deploying secure, cloud-ready applications. Along the way, you'll use hands-on examples to test, debug, and connect your systems with popular development tools, ensuring you gain real-world experience.

Key Features

  • Master the core components of Model Context Protocol for scalable AI integration
  • Develop and deploy secure MCP servers and intelligent Python clients
  • Integrate with popular tools like Claude Desktop and Visual Studio Code Agents

Target Audience

Perfect for web developers, software architects, and AI practitioners who want to build scalable, AI-integrated applications. If you have a basic understanding of web development and AI concepts and are looking to lead or contribute to modern agentic projects, you'll find the skills and insights you need here.

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