Isbn: 9798259044456 - mcp for ai agents with python: a practical guide to building, deploying, and scaling intelligent ai agents with the model context protocol: 15 (10 risultati)

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condizione: Neu. 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.…

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. 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 SDKCreate stateful, multi-turn intelligent agents that maintain context and memoryIntegrate MCP seamlessly with OpenAI Agents SDK, LangGraph, Claude, CrewAI, and moreDesign secure, scalable multi-agent systems where specialized agents collaborate efficientlyDeploy and orchestrate MCP agents in production using Docker, Kubernetes, and major cloud platformsImplement enterprise-grade security, authentication, governance, and observabilityTest, 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 teamsSecure, governed agent platforms with human-in-the-loop approvalsProduction-ready, auto-scaling MCP deploymentsKey Features: Complete, production-ready code examples throughoutClear architectural diagrams and decision frameworksSecurity, scaling, and cost optimization best practicesReal-world case studies from enterprise deploymentsFull 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. 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 SDKCreate stateful, multi-turn intelligent agents that maintain context and memoryIntegrate MCP seamlessly with OpenAI Agents SDK, LangGraph, Claude, CrewAI, and moreDesign secure, scalable multi-agent systems where specialized agents collaborate efficientlyDeploy and orchestrate MCP agents in production using Docker, Kubernetes, and major cloud platformsImplement enterprise-grade security, authentication, governance, and observabilityTest, 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 teamsSecure, governed agent platforms with human-in-the-loop approvalsProduction-ready, auto-scaling MCP deploymentsKey Features: Complete, production-ready code examples throughoutClear architectural diagrams and decision frameworksSecurity, scaling, and cost optimization best practicesReal-world case studies from enterprise deploymentsFull 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…