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Learn Model Context Protocol with Python

Learn Model Context Protocol with Python

By : Christoffer Noring
4.5 (2)
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Learn Model Context Protocol with Python

Learn Model Context Protocol with Python

4.5 (2)
By: Christoffer Noring

Overview of this book

Learn Model Context Protocol with Python introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (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 Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. Next, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand how to describe the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components. The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop 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.
Table of Contents (17 chapters)
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14
Other Books You May Enjoy
15
Index

Endless possibilities: know how to prompt, and a world of MCP servers is your oyster

Endless is a big word, so what do we mean? Imagine this: there are skills that you may not have today. In a world with MCP servers, that’s no longer a problem, because with APIs wrapped by the MCP, an agent will allow you to prompt to get what you need done.

Take the creation and management of 3D models, for example. Blender is a common tool for creating 3D models. To use it, you need 3D modeling skills. So, you will spend hours learning how to use the app, and I’m sure it’s a skill worth having.

Due to Blender’s MCP server, knowledge of 3D modeling is no longer needed as much. You can instead state what you want done through a prompt. It’s like the movie The Matrix, where the protagonist, Neo, says, “I know Kung Fu” after having information uploaded directly into his brain. The future is here. If you know how to prompt, you’re Neo.

Here’s the link to the Blender MCP server and the capabilities exposed: https://github.com/ahujasid/blender-mcp.

Any client now, with its own LLM and speaking MCP, will be able to call any MCP server, because Blender isn’t the only example; other major companies are leaning into MCP as well. Here are some examples:

  • GitHub MCP
  • Playwright MCP
  • Google Maps

For a list of MCP servers, check out the following link: https://github.com/modelcontextprotocol/servers.

There are many more servers out there, and more are being added every day, so roll up your sleeves and start building your own MCP servers and use what’s out there as well!

You’re probably thinking what I’m thinking: we all get our own Jarvis, the AI assistant from the movie Iron Man, capable of doing anything. All we need to do is leverage existing MCP servers and build the ones that are missing; just use MCP.

Imagine having a personal assistant that can help you with anything you need, from scheduling appointments to managing your finances. With MCP, this is now possible.

The future is knocking on your door, loud and clear. Are you ready to answer?

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