Stratis kyle (13 résultats)

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

paperback. Etat : New.

Etat : New.

Paperback. Etat : New. Building context-aware AI agents requires connecting models to a fragmented landscape of tools, databases, and APIs. Using the latest version of Model Context Protocol (MCP) and Python SDK (v2.x), AI Agents with MCP shows you how to address that challenge to build clean, standardized, and production-ready systems. Whether you're developing complex agentic workflows, bridging cross-platform tools, or creating robust multi-agent systems, this book takes you through every layer of MCP, from protocol structure to server and client implementation.Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more, and gives you a deep systems-level understanding of MCP's capabilities and limitations. With its flexible, model-agnostic design, MCP continues to gain traction across the generative AI community; this book ensures you're ready to build with it confidently and effectively.Understand the structure and core concepts of the Model Context ProtocolFocus on feature-completeness in treatment of clients and serversConsume tools, prompts, and data via MCP-based agent workflowsExtend agent capabilities with MCP for large-scale and AI-native systems. …

Paperback. Etat : new. Paperback. Building context-aware AI agents requires connecting models to a fragmented landscape of tools, databases, and APIs. Using the latest version of Model Context Protocol (MCP) and Python SDK (v2.x), AI Agents with MCP shows you how to address that challenge to build clean, standardized, and production-ready systems. Whether you're developing complex agentic workflows, bridging cross-platform tools, or creating robust multi-agent systems, this book takes you through every layer of MCP, from protocol structure to server and client implementation.Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more, and gives you a deep systems-level understanding of MCP's capabilities and limitations. With its flexible, model-agnostic design, MCP continues to gain traction across the generative AI community; this book ensures you're ready to build with it confidently and effectively.Understand the structure and core concepts of the Model Context ProtocolFocus on feature-completeness in treatment of clients and serversConsume tools, prompts, and data via MCP-based agent workflowsExtend agent capabilities with MCP for large-scale and AI-native systems Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more, and gives you a deep systems-level understanding of MCP's capabilities and limitations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New.

Etat : new.

Etat : New.

Paperback. Etat : New. Building context-aware AI agents requires connecting models to a fragmented landscape of tools, databases, and APIs. Using the latest version of Model Context Protocol (MCP) and Python SDK (v2.x), AI Agents with MCP shows you how to address that challenge to build clean, standardized, and production-ready systems. Whether you're developing complex agentic workflows, bridging cross-platform tools, or creating robust multi-agent systems, this book takes you through every layer of MCP, from protocol structure to server and client implementation.Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more, and gives you a deep systems-level understanding of MCP's capabilities and limitations. With its flexible, model-agnostic design, MCP continues to gain traction across the generative AI community; this book ensures you're ready to build with it confidently and effectively.Understand the structure and core concepts of the Model Context ProtocolFocus on feature-completeness in treatment of clients and serversConsume tools, prompts, and data via MCP-based agent workflowsExtend agent capabilities with MCP for large-scale and AI-native systems. …

Taschenbuch. Etat : Neu. Neuware - Building context-aware AI agents requires connecting models to a fragmented landscape of tools, databases, and APIs. Using the latest version of Model Context Protocol (MCP) and Python SDK (v2.x), AI Agents with MCP shows you how to address that challenge to build clean, standardized, and production-ready systems. Whether you're developing complex agentic workflows, bridging cross-platform tools, or creating robust multi-agent systems, this book takes you through every layer of MCP, from protocol structure to server and client implementation. Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more, and gives you a deep systems-level understanding of MCP's capabilities and limitations. With its flexible, model-agnostic design, MCP continues to gain traction across the generative AI community; this book ensures you're ready to build with it confidently and effectively. - Understand the structure and core concepts of the Model Context Protocol - Focus on feature-completeness in treatment of clients and servers - Consume tools, prompts, and data via MCP-based agent workflows - Extend agent capabilities with MCP for large-scale and AI-native systems.…

Etat : New.

Paperback. Etat : new. Paperback. Building context-aware AI agents requires connecting models to a fragmented landscape of tools, databases, and APIs. Using the latest version of Model Context Protocol (MCP) and Python SDK (v2.x), AI Agents with MCP shows you how to address that challenge to build clean, standardized, and production-ready systems. Whether you're developing complex agentic workflows, bridging cross-platform tools, or creating robust multi-agent systems, this book takes you through every layer of MCP, from protocol structure to server and client implementation.Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more, and gives you a deep systems-level understanding of MCP's capabilities and limitations. With its flexible, model-agnostic design, MCP continues to gain traction across the generative AI community; this book ensures you're ready to build with it confidently and effectively.Understand the structure and core concepts of the Model Context ProtocolFocus on feature-completeness in treatment of clients and serversConsume tools, prompts, and data via MCP-based agent workflowsExtend agent capabilities with MCP for large-scale and AI-native systems Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more, and gives you a deep systems-level understanding of MCP's capabilities and limitations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Etat : New. Building context-aware AI agents requires connecting models to a fragmented landscape of tools, databases, and APIs. Using the latest version of Model Context Protocol (MCP) and Python SDK (v2.x), AI Agents with MCP shows you how to address that challenge to build clean, standardized, and production-ready systems. Whether you're developing complex agentic workflows, bridging cross-platform tools, or creating robust multi-agent systems, this book takes you through every layer of MCP, from protocol structure to server and client implementation.Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more, and gives you a deep systems-level understanding of MCP's capabilities and limitations. With its flexible, model-agnostic design, MCP continues to gain traction across the generative AI community; this book ensures you're ready to build with it confidently and effectively.Understand the structure and core concepts of the Model Context ProtocolFocus on feature-completeness in treatment of clients and serversConsume tools, prompts, and data via MCP-based agent workflowsExtend agent capabilities with MCP for large-scale and AI-native systems. …