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Learn Model Context Protocol with Python

You're reading from   Learn Model Context Protocol with Python Build agentic systems in Python with the new standard for AI capabilities

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Product type Paperback
Published in Oct 2025
Publisher Packt
ISBN-13 9781806103232
Length 304 pages
Edition 1st Edition
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Author (1):
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Christoffer Noring Christoffer Noring
Author Profile Icon Christoffer Noring
Christoffer Noring
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Toc

Table of Contents (17) Chapters Close

Preface 1. Introduction to the Model Context Protocol 2. Explaining the Model Context Protocol FREE CHAPTER 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. Unlock Your Book’s Exclusive Benefits 14. Other Books You May Enjoy
15. Index
Appendix: Building for the Web with Modern Python

async and await

Validating code is important, but another important aspect we also need to understand is asynchronous programming. Asynchronous programming allows us to write code that can perform multiple tasks at once without blocking the main thread. This is particularly useful in scenarios where we need to handle I/O-bound operations, such as making API calls or reading from a database.

Let’s talk about async/await, which is a syntax for writing asynchronous code in Python. You should use async/await when you want to write non-blocking code that can handle many tasks at once. If your code is blocking, then the end user experience suffers, as they have to wait for each task to complete before moving on. Imagine the problem multiplying on a web server with many users. Okay, so what do we need to know? First, let’s start with the concepts:

  • coroutine: A so-called coroutine is created when you mark up a function with async def. That means this function...
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