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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

Clients with LLMs

So far, you’ve seen how you can build and test a client using STDIO and SSE. However, you might have noticed how this approach is quite programmatic and not very user-friendly. That is, for each capability you want to use, you need to know the exact name of the feature and its parameters. This is where LLMs come in. By involving an LLM in the client, you can abstract away the knowing part and instead focus on the doing part. Here’s how it works.

Before using an LLM

Here’s how you would build an app without an LLM and how the flow in the app would be:

  1. List server features.
  2. The user selects a feature and the client asks for the parameters.
  3. Do something with the response.

This approach is quite rigid and requires the user to explicitly know and select one of the features listed. So, what’s better?

After involving an LLM

To address clients that feel rigid, imagine instead that the user doesn...

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