Description
Getting Started with Model Context Protocol (MCP) explores one of the newest open-source standards in the world of AI, introduced by Entropic. The Model Context Protocol (MCP) acts like a USB-C port for AI, allowing large language models (LLMs) to securely and seamlessly connect to external data sources, files, and tools. In this book, the author attempts to break down the informational isolation of AI models and provide practical solutions for connecting them to modern infrastructures.
This guide explains the key protocol roles of host, client, and server in simple terms so developers can add new capabilities to their intelligent assistants without having to rewrite existing code. Focusing on the flexibility of AI systems, the book teaches readers how to connect tools such as email management platforms, databases, and analytics tools to their AI platform in a single workflow, without being tied to a specific company.
Book Features
- A comprehensive introduction to the open source MCP standard and the history of its formation by Anthropic.
- A detailed examination of the protocol’s three-tier architecture, including the host environment, client interface, and server tool.
- Providing step-by-step tutorials for setting up local and remote servers on platforms like Claude and Cursor.
- Learn how to use AI-ready tools to manage files, databases, and communication tools.
- Exploring model-agnostic approaches to easily swap AI models across projects.
Book specifications
- Instructor/Author: Eron Valdric
- Number of pages: 197
- Number of chapters: 12
- Format: PDF
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User Guide
Extract the file and run it with the appropriate software.
Download link
File(s) password: www.downloadly.ir
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885 KB