Description
Learn Model Context Protocol with Python
Seamlessly connect your data to the next generation of AI agents. Learn Model Context Protocol with Python is the definitive, hands-on guide to mastering MCP—the open standard that allows LLMs to securely access your local and remote data sources. Learn how to build robust, interoperable connectors that transform static AI models into dynamic, context-aware assistants capable of interacting with your entire tech stack.
Note: This is a digital product. A secure download link will be sent to your email address immediately after payment.
What You Will Learn:
MCP Architecture & Fundamentals: Master the core components of the Model Context Protocol, including Clients, Servers, and the standardized JSON-RPC communication layer.
Building Custom MCP Servers: Step-by-step guidance on using Python to create servers that expose local files, databases, and APIs to AI models safely and efficiently.
Tool & Resource Implementation: Discover how to define executable “Tools” and “Resources” that allow AI agents to perform real-time actions and data retrieval on your behalf.
Security & Authentication: Best practices for implementing secure access controls, ensuring that your sensitive data remains protected while interacting with LLMs.
Who This Book is For: This practical guide is essential for Python developers, AI engineers, and software architects who are building agentic workflows. It is an invaluable resource for anyone looking to stay at the forefront of AI integration by mastering the standard that bridges the gap between raw model intelligence and private data.
Product Details:
Format: Digital PDF Download
Author: Christoffer Noring
Publisher: Packt Publishing
Edition: 1st Edition
Publication Year: 2025
ISBN-13: 9781806103225
ISBN-10: 1806103222
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