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Home > Data > Artificial Intelligence > Learn Model Context Protocol with Python
Learn Model Context Protocol with Python
Learn Model Context Protocol with Python

Learn Model Context Protocol with Python: Build agentic systems in Python with the new standard for AI capabilities

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Learn Model Context Protocol with Python

Introduction to the Model Context Protocol

Generative AI has rapidly become a force in today’s technological landscape, reshaping industries and redefining how we approach problem-solving. From natural language processing to image generation, the integration of generative AI into various domains has opened up new possibilities for innovation and efficiency.

For us developers, integrating generative AI into app development workflows is not without its complexities. We must carefully evaluate factors such as model accuracy, ethical considerations, and computational efficiency.

It’s in the process of building applications that we need to consider how we standardize the way we build our AI applications. Standardization means that everything looks the same, which should mean easier integration and collaboration across different teams and tools.

This is where the Model Context Protocol (MCP) comes in, to standardize how we ensure that AI-powered applications can easily find what they need from tools, content, and prompts; more on that shortly.

The chapter covers the following topics:

  • How we got here, from SOAP to REST to GraphQL to gRPC to MCP
  • The need for a standard
  • Endless possibilities: know how to prompt, and a world of MCP servers is your oyster
  • What is the MCP?

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How we got here, from SOAP to REST to GraphQL to gRPC to MCP

Before we dive into the details of the MCP, let’s take a step back and look at how we got here.

One of my early memories of using web requests involved using XML to send and receive data. This was back in the days of Simple Object Access Protocol (SOAP), which was a protocol for exchanging structured information in the implementation of web services. It was great, but it was also very complex and felt heavy.

Then came Representational State Transfer (REST), which was a simpler way to build web services. It used HTTP and JSON, which made it easier to work with. REST was, and is, great.

There’s nothing inherently wrong with REST, but you could argue that if you had a backend team and a frontend team, the frontend team would often be waiting for the backend team to finish their work before they could start building the frontend. This is where GraphQL came in, which allowed you to query only the data you needed and made it easier to work with APIs. Of course, that creates other problems, such as over-fetching and under-fetching data and what’s known as the N+1 problem. The N+1 problem is a common performance issue in GraphQL APIs where multiple requests are made to fetch related data, leading to inefficiencies and increased latency.

There’s also Google Remote Procedure Call (gRPC), which is a high-performance RPC framework that uses HTTP/2 and Protocol Buffers. gRPC is great for microservices and allows you to define your APIs in a more structured way, but it can be complex to set up and use.

The need for a standard

All of these formats are great in their own right, but they all have their own problems. Also, the problem isn’t often of this nature, but rather a string of questions that we need to ask ourselves when building applications:

  • What does this app/API do? How do we easily expose the capabilities of our applications in a way that is easy to understand and use? Of course, no one has really agreed on a standard for this yet, until now.
  • How do we build apps if prompts are the new way to interact? Add to that that users are becoming accustomed to using prompts to interact with applications, and you start wondering what part is the generative AI part, and what part is the capabilities of the application itself?
  • Should large language model (LLM) and other capabilities be kept separate? Also, do I really need the generative AI part and the capabilities of the application to all be in the same place?
  • If they were kept separate, what could we gain? If we could separate the two, in a client and server part, then maybe we could easily consume servers built by others – Hello agentic era.

These are some good questions to ask yourself. But this doesn’t answer why we need a standard. Let’s look at that further:

  • We, as developers, are too good at programming: Here’s the problem: as developers, we’re almost too good at programming, meaning that we’re used to gluing different things together. We can build applications that use multiple AI models, and we can make applications talk to each other that use different protocols and formats. This is not always easy, but we can do it.
  • We can do it, but at what cost? As mentioned, just because we can glue virtually anything together doesn’t mean we should. Yes, we can wrap anything into a REST API and make it talk to anything else. But how much time and effort does that take?
  • The solution, a standard: Now, you see the need for a standard, hopefully. The great news is that there is a standard that is being developed to solve this problem. It’s called the MCP. This enables you to not only describe your resources and capabilities in a standardized way, but also describe how to interact with them.

That means that you can literally throw the MCP on top of any app and suddenly any client that talks MCP can interact with it. Imagine the following scenario: you have a client, and that client can talk to a number of MCP servers that run both locally and remotely. All of this is made possible because you listed these servers in an mcp.json file.

Suddenly, you have access to tools to access anything you can imagine, from databases to cloud providers to any other service that exposes an MCP server. You’re becoming agentic with little to no effort. Imagine the possibilities!

Let’s talk about some of the possibilities that the MCP opens up for us.

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?

What is the MCP?

Here’s what the official MCP website has to say about it:

The Model Context Protocol, MCP is an open protocol designed to standardize how applications provide context to large language models (LLMs). Think of it like a USB-C port for AI applications, providing a standardized way to connect AI models to various data sources and tools.

What does that mean for app developers?

It means the way we build our applications is changing and becoming more standardized. By learning and using MCP, all your apps will be able to communicate with each other and share data in a standardized way. That means you will spend less time worrying about how to connect or glue your app to other apps and more time building the features that matter.

We’ll dive more into the details of these concepts in the next chapter, but for now, we understand at a mile-high level what the MCP is and how it works, and what major components are involved.

Summary and next steps: now what?

We understand the problem, the solution, and the possibilities, which are endless, and we even know some core concepts of the MCP. But we probably need to know a bit more about it before we can start building our own MCP servers. We’ll look at that in the next chapter.

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Key benefits

  • The only resource you'll need to build, test, and deploy MCP servers and clients
  • Take a modern approach toward building, testing, and securing distributed agentic AI apps
  • Get clear, professional guidance on developing for both LLM and non-LLM clients
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

This book is ideal for web developers, software architects, AI practitioners, and tech leads looking to build scalable AI-integrated applications using MCP. Product managers overseeing AI initiatives will also find this book valuable. A basic understanding of web development and AI concepts is needed to make the most of this book.

What you will learn

  • Understand the MCP protocol and its core components
  • Build MCP servers that expose tools and resources to a variety of clients
  • Test and debug servers using the interactive inspector tools
  • Consume servers using Claude Desktop and Visual Studio Code Agents
  • Secure MCP apps, as well as managing and mitigating common threats
  • Build and deploy MCP apps using cloud-based strategies
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Publication date : Oct 27, 2025
Length: 304 pages
Edition : 1st
Language : English
ISBN-13 : 9781806103232
Category :
Data
Languages :
Python
Concepts :
Artificial Intelligence
Tools :
Django

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Length: 304 pages
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Language : English
ISBN-13 : 9781806103232
Category :
Data
Languages :
Python
Concepts :
Artificial Intelligence
Tools :
Django

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Table of Contents

15 Chapters
Introduction to the Model Context Protocol Chevron down icon Chevron up icon
Introduction to the Model Context Protocol
Getting the most out of this book – get to know your free benefits
How we got here, from SOAP to REST to GraphQL to gRPC to MCP
The need for a standard
Endless possibilities: know how to prompt, and a world of MCP servers is your oyster
What is the MCP?
Summary and next steps: now what?
Explaining the Model Context Protocol Chevron down icon Chevron up icon
Explaining the Model Context Protocol
Learning about the protocol by implementing it
Transports in MCP
Summary
Assignment
Solution
Quiz
Building and Testing Servers Chevron down icon Chevron up icon
Building and Testing Servers
A STDIO server
Concepts
Runtimes
Testing the server
First server
Summary
Assignment – an e-commerce STDIO server
Solution
Quiz
References
Building SSE Servers Chevron down icon Chevron up icon
Building SSE Servers
SSE concepts
Creating an SSE server as a web app
Testing with SSE
Creating an SSE server
Summary
Assignment – SSE server
Solution
Quiz
References
Streamable HTTP Chevron down icon Chevron up icon
Streamable HTTP
Streamable HTTP versus SSE, and why it is the new standard
Streamable HTTP in MCP
Resumability
Notifications
Creating and testing a server with Streamable HTTP
Testing the server
Testing out resumability
Summary
Assignment
Solution
Quiz
References
Advanced Servers Chevron down icon Chevron up icon
Advanced Servers
Why this low-level approach?
Context managers
Context managers in MCP servers
Low-level access
Organizing your architecture
Summary
Assignment
Solution
Quiz
Building Clients Chevron down icon Chevron up icon
Building Clients
Building a client
Exercise: Building a client
Clients with LLMs
Working with an LLM
Exercise: Integrating the LLM
Summary
Assignment
Solution
Quiz
Consuming Servers Chevron down icon Chevron up icon
Consuming Servers
Consuming with hosts such as Claude Desktop and VS Code
Installation process
Adding a server
Local and global install
Tips and tricks
Security aspects
Suggestion for servers
Summary
Assignment
Quiz
Sampling Chevron down icon Chevron up icon
Sampling
Why sampling?
Implementing sampling
Summary
Assignment
Solution
Quiz
Elicitation Chevron down icon Chevron up icon
Elicitation
Why elicitation?
Implementing elicitation
Elicitation flow
JSON-RPC messages
Implementing the server-side functionality
Testing elicitation with VS Code
Summary
Assignment
Solution
Quiz
Securing Your Application Chevron down icon Chevron up icon
Securing Your Application
Basic authentication
Hardening security with JWT
OAuth2
Summary
Assignment 1: Secure your MCP server with basic authentication
Solution 1
Assignment 2: Secure your MCP server with JWT
Solution 2
Quiz
Resources
Bringing MCP Apps to Production Chevron down icon Chevron up icon
Bringing MCP Apps to Production
Architecture and design
Packaging and distribution
Testing and deployment automation
Operations and observability
Summary
Resources
Unlock Your Book’s Exclusive Benefits Chevron down icon Chevron up icon
Unlock Your Book’s Exclusive Benefits
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Other Books You May Enjoy Chevron down icon Chevron up icon
Other Books You May Enjoy
Index Chevron down icon Chevron up icon
Index

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About the author

Profile icon Christoffer Noring
Christoffer Noring
Christoffer Noring is a passionate developer and educator who specializes in modern web technologies and AI integrations and works as an engineer at Microsoft. He's also a tutor at the University of Oxford and is a published author on Angular, RxJs, generative AI, and now MCP. Christoffer has almost two decades of experience in software development and is a frequent speaker at tech conferences worldwide. According to his manager, his best quality is being able to break down complex technical concepts into simple, understandable terms. He hopes you agree! When not coding or writing, Christoffer is probably growing another user community, mentoring developers, or spending time with his family.
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For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
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