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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

Why sampling?

As we said at the beginning, the server wants to delegate some problems to the client and, specifically, to the client’s LLM. So, what problems can an LLM help with that the server can’t? There are lots of examples if you think about it: generating product descriptions, abstracts, tags, and more.

Let’s look into the sample flow first so we understand how the interaction happens at a high level.

Sampling flow

When performing sampling, the following participants are involved:

  • User: The user is usually involved in two places, as the originator of the initial action, and even as the human in the loop, accepting or modifying the sample request.
  • Server: The server is the participant sending out a sample request. This request is usually sent out from a server feature, such as a tool call, reading of a resource, or a request from a prompt template.
  • Client: The client’s job is to receive the sample request and show...
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