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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

Concepts

Let’s take a look at the core concepts (features, if you will) that the server can offer.

Resources

These are the data and context that the server can provide to the client. The way MCP is meant to be used is by the client having an LLM when they communicate with the server. Resources in this use case serve as context that could be added to the LLM at the time of the prompt. Imagine the following scenario playing out:

Figure 3.1 – Resources scenario

Figure 3.1 – Resources scenario

In this scenario, the context ensures that the end user gets a better result as the server’s context is paired with the user’s prompt, like a simplified retrieval-augmented generation (RAG) pattern. That is, you pair the user’s prompt with your data to get a better response.

A specific example implementing this way of thinking could be where the user asks for products like so:

Prompt

User: I'm looking for a new laptop
Figure 3.2 – Example of a resource interaction

Figure 3.2 – Example...

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