MCP FOR AI AGENTS WITH PYTHON : A Practical Guide to Building, Deploying, and Scaling Intelligent AI Agents with the Model Context Protocol

Sammy Tech

ISBN 13: 9798259044456

Published by Independently Published Apr 2026, 2026

About this Item

Neuware - Master the Future of AI Agents with the Model Context ProtocolThe way we build AI agents has fundamentally changed.In 2025, Anthropic introduced the Model Context Protocol (MCP) - an open standard that has quickly become the 'USB-C for AI agents.' MCP allows any language model to securely and consistently connect to tools, databases, APIs, file systems, and enterprise applications without fragile custom integrations.MCP for AI Agents with Python is the practical, production-focused guide Python developers and AI engineers have been waiting for.This book takes you far beyond basic tutorials. Through hands-on examples and real-world patterns, you will learn how to: - Build robust MCP servers using FastMCP and the official Python SDK- Create stateful, multi-turn intelligent agents that maintain context and memory- Integrate MCP seamlessly with OpenAI Agents SDK, LangGraph, Claude, CrewAI, and more- Design secure, scalable multi-agent systems where specialized agents collaborate efficiently- Deploy and orchestrate MCP agents in production using Docker, Kubernetes, and major cloud platforms- Implement enterprise-grade security, authentication, governance, and observability- Test, debug, and continuously improve production agent workflowsWhether you're an experienced AI engineer looking to adopt MCP in your organization or a Python developer ready to move beyond LangChain and traditional tool-calling, this book provides the depth and practical guidance you need.What You'll Build: - Enterprise data and API connectors (PostgreSQL, Git, Notion, Slack, Salesforce, etc.)- Sophisticated multi-agent research and analysis teams- Secure, governed agent platforms with human-in-the-loop approvals- Production-ready, auto-scaling MCP deploymentsKey Features: - Complete, production-ready code examples throughout- Clear architectural diagrams and decision frameworks- Security, scaling, and cost optimization best practices- Real-world case studies from enterprise deployments- Full companion GitHub repository with all code and deployment manifestsThe Model Context Protocol is rapidly becoming the standard for building truly capable, interoperable, and trustworthy AI agents. This book gives you the skills and confidence to lead that transformation in your projects and organization.Start building the next generation of AI agents today.

Seller Inventory # 9798259044456

Bibliographic Details

• Title: MCP FOR AI AGENTS WITH PYTHON : A Practical Guide to Building, Deploying, and Scaling Intelligent AI Agents with the Model Context Protocol
• Publisher: Independently Published Apr 2026
• Publication Date: 2026
• Language: English
• ISBN 13: 9798259044456
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 8D millimeters 229 millimeters width by 152 millimeters height by 8 millimeters depth
• Weight: 216 grams

About this title

Synopsis

Master the Future of AI Agents with the Model Context Protocol

The way we build AI agents has fundamentally changed.

In 2025, Anthropic introduced the Model Context Protocol (MCP) — an open standard that has quickly become the "USB-C for AI agents." MCP allows any language model to securely and consistently connect to tools, databases, APIs, file systems, and enterprise applications without fragile custom integrations.

MCP for AI Agents with Python is the practical, production-focused guide Python developers and AI engineers have been waiting for.

This book takes you far beyond basic tutorials. Through hands-on examples and real-world patterns, you will learn how to:

• Build robust MCP servers using FastMCP and the official Python SDK
• Create stateful, multi-turn intelligent agents that maintain context and memory
• Integrate MCP seamlessly with OpenAI Agents SDK, LangGraph, Claude, CrewAI, and more
• Design secure, scalable multi-agent systems where specialized agents collaborate efficiently
• Deploy and orchestrate MCP agents in production using Docker, Kubernetes, and major cloud platforms
• Implement enterprise-grade security, authentication, governance, and observability
• Test, debug, and continuously improve production agent workflows

Whether you're an experienced AI engineer looking to adopt MCP in your organization or a Python developer ready to move beyond LangChain and traditional tool-calling, this book provides the depth and practical guidance you need.

What You'll Build:

• Enterprise data and API connectors (PostgreSQL, Git, Notion, Slack, Salesforce, etc.)
• Sophisticated multi-agent research and analysis teams
• Secure, governed agent platforms with human-in-the-loop approvals
• Production-ready, auto-scaling MCP deployments

Key Features:

• Complete, production-ready code examples throughout
• Clear architectural diagrams and decision frameworks
• Security, scaling, and cost optimization best practices
• Real-world case studies from enterprise deployments
• Full companion GitHub repository with all code and deployment manifests

The Model Context Protocol is rapidly becoming the standard for building truly capable, interoperable, and trustworthy AI agents. This book gives you the skills and confidence to lead that transformation in your projects and organization.

Start building the next generation of AI agents today.