Model Context Protocol for Beginners introduces developers, architects, and AI practitioners to the transformative capabilities of MCP, an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale.
Drawing from Chris' expertise as a published author and tutor at the University of Oxford, you’ll start by mastering the components of MCP and how they streamline server and client development. You’ll then progress from building robust backends and integrating LLMs into intelligent clients, to interacting with servers via tools such as Claude Desktop and Visual Studio Code Agents. You'll understand how to describe the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components.
The book goes also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter builds hands-on skills for building and operating MCP-based agentic apps. The Python primer at the end rounds out the practical toolkit, making this book essential for any team building AI-native applications today.

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Spis treści

Learn Model Context Protocol with Python. Build agentic systems in Python with the new standard for AI capabilities eBook -- spis treści

• 1. Introduction to the Model Context Protocol
• 2. Explaining the Model Context Protocol
• 3. Building and Testing Servers
• 4. Building SSE Servers
• 5. Streamable HTTP
• 6. Advanced Servers
• 7. Building Clients
• 8. Consuming Servers
• 9. Sampling
• 10. Elicitation
• 11. Securing Your Application
• 12. Bringing MCP Apps to Production
• 13. Appendix