Zain karl (20 resultados)

Paperback or Softback. Condición: New. MCP Integrations for Microsoft 365: Design practical AI workflows with Excel, Word, and various MS Office tools using Model Context Protocol. Book.

Condición: New.

Condición: New.

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

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

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

Taschenbuch. Condición: Neu. Neuware.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book practically brings you the easy-to-follow solutions wherein you can connect AI-driven automation to everyday business tools using Model Context Protocol (MCP), with Microsoft Excel and Word as the primary execution and delivery surfaces. This book focuses on practical integration patterns that developers and technical teams can apply directly in real business environments. You won't find any discussions of model internals or theoretical AI concepts here.The book presents a structured approach to building governed, auditable workflows. It shows how Excel rows act as requests, YAML playbooks define execution logic, and tools such as Jira, databases, document repositories, and reporting systems are integrated through well-defined contracts. We use Microsoft Word as a controlled output surface for reports and deliverables. There are audit logs and approval mechanisms in place to ensure transparency and traceability throughout the workflow lifecycle. I will guide you through designing MCP tool contracts, mapping Excel columns to tool arguments, normalizing results for analytics, and shaping outputs for Excel and Power BI. In this book, you will learn to implement safety patterns such as idempotency, retries, policy allowlists, tenant isolation, and least-privilege access. It includes practical chapters on connector development, authentication and secrets handling, governance controls, diagnostics, testing strategies, and deployment patterns for both scheduled and on-demand execution.I strongly recommend this book to developers, platform engineers, and technical architects who work with Microsoft 365. These professionals will learn to integrate AI-assisted workflows into existing business processes without unnecessary complexity.Key LearningsTurn Excel and Word into powerful AI-driven control and delivery hubs for business automation.Automate business workflows with AI Agents without exposing users, model internals and LLMs.Build predictable, auditable, and reusable automation using tool contracts and playbooks.Trigger real business actions across Jira, databases, and documents using Excel and Word.Make use of YAML playbooks to transform multi-step business processes into workflows.Make use of audit logs, approvals, and correlation IDs to execute transparent and compliant AI actions.Prevent duplicate actions using idempotency and request tracking.Practice versioning, policies, and strict access controls for scaling MCP connectors.Table of ContentMCP and Agent PrimerMicrosoft 365 Project BlueprintTool Contracts for Excel and Word AutomationBuilding MCP Connectors as Business ActionsAuthentication and Secrets for Microsoft 365 and SaaSGovernance, Approvals, and Audit TrailsWorkflow Runner with YAML PlaybooksJira Connector with Excel RequestsData and Knowledge ConnectorsShipping MCP Integrations across Microsoft 365 Teams.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 118 pp. Englisch.

Paperback. Condición: new. Paperback. This book practically brings you the easy-to-follow solutions wherein you can connect AI-driven automation to everyday business tools using Model Context Protocol (MCP), with Microsoft Excel and Word as the primary execution and delivery surfaces. This book focuses on practical integration patterns that developers and technical teams can apply directly in real business environments. You won't find any discussions of model internals or theoretical AI concepts here.The book presents a structured approach to building governed, auditable workflows. It shows how Excel rows act as requests, YAML playbooks define execution logic, and tools such as Jira, databases, document repositories, and reporting systems are integrated through well-defined contracts. We use Microsoft Word as a controlled output surface for reports and deliverables. There are audit logs and approval mechanisms in place to ensure transparency and traceability throughout the workflow lifecycle. I will guide you through designing MCP tool contracts, mapping Excel columns to tool arguments, normalizing results for analytics, and shaping outputs for Excel and Power BI. In this book, you will learn to implement safety patterns such as idempotency, retries, policy allowlists, tenant isolation, and least-privilege access. It includes practical chapters on connector development, authentication and secrets handling, governance controls, diagnostics, testing strategies, and deployment patterns for both scheduled and on-demand execution.I strongly recommend this book to developers, platform engineers, and technical architects who work with Microsoft 365. These professionals will learn to integrate AI-assisted workflows into existing business processes without unnecessary complexity.Key LearningsTurn Excel and Word into powerful AI-driven control and delivery hubs for business automation.Automate business workflows with AI Agents without exposing users, model internals and LLMs.Build predictable, auditable, and reusable automation using tool contracts and playbooks.Trigger real business actions across Jira, databases, and documents using Excel and Word.Make use of YAML playbooks to transform multi-step business processes into workflows.Make use of audit logs, approvals, and correlation IDs to execute transparent and compliant AI actions.Prevent duplicate actions using idempotency and request tracking.Practice versioning, policies, and strict access controls for scaling MCP connectors.Table of ContentMCP and Agent PrimerMicrosoft 365 Project BlueprintTool Contracts for Excel and Word AutomationBuilding MCP Connectors as Business ActionsAuthentication and Secrets for Microsoft 365 and SaaSGovernance, Approvals, and Audit TrailsWorkflow Runner with YAML PlaybooksJira Connector with Excel RequestsData and Knowledge ConnectorsShipping MCP Integrations across Microsoft 365 Teams This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. AI is moving into a new phase, with the Model Context Protocol turning isolated AI models into agents that can read files, call APIs and act across your systems. On top of that, it gave attackers a brand-new, wide-open surface. In less than two years, MCP went from being a good idea to being a critical infrastructure, and its security never kept pace. This practical, solution-focused field book is the first thing you need to get the job done.This cookbook is built around a single server and you can use it to harden things recipe by recipe. It works through more than fifty real vulnerabilities drawn from a scan of over eleven thousand production servers. You'll be closing code-execution sinks, pinning a runaway dependency supply chain, catching tools that mutate after approval, and enforcing authentication that servers only pretend to require. It'll be your job to defend the agent's own context against prompt injection and tool poisoning, lock down OAuth flows, protect consent screens, isolate untrusting servers on a shared host, and set the operational defaults that decide how far any single flaw can travel.Every recipe describes the problem, shows the working code to solve it, and proves that the solution works. If you build, run, or secure MCP servers on Linux, this book will help you turn your experience into everyday, repeatable practice.Key LearningsTreat every tool argument as attacker-controlled, and replace risky primitives with narrow, safe alternatives.Pin, hash, and audit the entire dependency tree so nothing changes without review.Catch rug pulls by hashing approved tool definitions and re-verifying them every session.Enforce authentication and per-tool authorization in code, never merely declare it in a manifest.Defend the agent context by stopping tool content from ever triggering actions.Validate token audience and issuer so a credential works only where intended.Secure OAuth flows with PKCE, bound state parameters, and per-client consent.Protect human consent against clickjacking and fatigue with framing rules and rare prompts.Isolate untrusting servers on a shared host by namespacing tools and scoping context.Contain blast radius through sandboxing, least privilege, audit logging, and rate limiting.Table of ContentExposure to Opportunity of MCPCode-Execution SinksSupply ChainRug Pulls and Tool-Definition IntegrityAuthentication and Access ControlMCP-Native and Prompt-Layer AttacksOAuth Flow and Token IntegrityConsent, Discovery, and Credential Blast RadiusAgent-Layer and Trust-Boundary AttacksOperational Hygiene and Insecure Defaults This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. AI is moving into a new phase, with the Model Context Protocol turning isolated AI models into agents that can read files, call APIs and act across your systems. On top of that, it gave attackers a brand-new, wide-open surface. In less than two years, MCP went from being a good idea to being a critical infrastructure, and its security never kept pace. This practical, solution-focused field book is the first thing you need to get the job done.This cookbook is built around a single server and you can use it to harden things recipe by recipe. It works through more than fifty real vulnerabilities drawn from a scan of over eleven thousand production servers. You'll be closing code-execution sinks, pinning a runaway dependency supply chain, catching tools that mutate after approval, and enforcing authentication that servers only pretend to require. It'll be your job to defend the agent's own context against prompt injection and tool poisoning, lock down OAuth flows, protect consent screens, isolate untrusting servers on a shared host, and set the operational defaults that decide how far any single flaw can travel.Every recipe describes the problem, shows the working code to solve it, and proves that the solution works. If you build, run, or secure MCP servers on Linux, this book will help you turn your experience into everyday, repeatable practice.Key LearningsTreat every tool argument as attacker-controlled, and replace risky primitives with narrow, safe alternatives.Pin, hash, and audit the entire dependency tree so nothing changes without review.Catch rug pulls by hashing approved tool definitions and re-verifying them every session.Enforce authentication and per-tool authorization in code, never merely declare it in a manifest.Defend the agent context by stopping tool content from ever triggering actions.Validate token audience and issuer so a credential works only where intended.Secure OAuth flows with PKCE, bound state parameters, and per-client consent.Protect human consent against clickjacking and fatigue with framing rules and rare prompts.Isolate untrusting servers on a shared host by namespacing tools and scoping context.Contain blast radius through sandboxing, least privilege, audit logging, and rate limiting.Table of ContentExposure to Opportunity of MCPCode-Execution SinksSupply ChainRug Pulls and Tool-Definition IntegrityAuthentication and Access ControlMCP-Native and Prompt-Layer AttacksOAuth Flow and Token IntegrityConsent, Discovery, and Credential Blast RadiusAgent-Layer and Trust-Boundary AttacksOperational Hygiene and Insecure Defaults This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book practically brings you the easy-to-follow solutions wherein you can connect AI-driven automation to everyday business tools using Model Context Protocol (MCP), with Microsoft Excel and Word as the primary execution and delivery surfaces. This book focuses on practical integration patterns that developers and technical teams can apply directly in real business environments. You won't find any discussions of model internals or theoretical AI concepts here.The book presents a structured approach to building governed, auditable workflows. It shows how Excel rows act as requests, YAML playbooks define execution logic, and tools such as Jira, databases, document repositories, and reporting systems are integrated through well-defined contracts. We use Microsoft Word as a controlled output surface for reports and deliverables. There are audit logs and approval mechanisms in place to ensure transparency and traceability throughout the workflow lifecycle. I will guide you through designing MCP tool contracts, mapping Excel columns to tool arguments, normalizing results for analytics, and shaping outputs for Excel and Power BI. In this book, you will learn to implement safety patterns such as idempotency, retries, policy allowlists, tenant isolation, and least-privilege access. It includes practical chapters on connector development, authentication and secrets handling, governance controls, diagnostics, testing strategies, and deployment patterns for both scheduled and on-demand execution.I strongly recommend this book to developers, platform engineers, and technical architects who work with Microsoft 365. These professionals will learn to integrate AI-assisted workflows into existing business processes without unnecessary complexity.Key LearningsTurn Excel and Word into powerful AI-driven control and delivery hubs for business automation.Automate business workflows with AI Agents without exposing users, model internals and LLMs.Build predictable, auditable, and reusable automation using tool contracts and playbooks.Trigger real business actions across Jira, databases, and documents using Excel and Word.Make use of YAML playbooks to transform multi-step business processes into workflows.Make use of audit logs, approvals, and correlation IDs to execute transparent and compliant AI actions.Prevent duplicate actions using idempotency and request tracking.Practice versioning, policies, and strict access controls for scaling MCP connectors.Table of ContentMCP and Agent PrimerMicrosoft 365 Project BlueprintTool Contracts for Excel and Word AutomationBuilding MCP Connectors as Business ActionsAuthentication and Secrets for Microsoft 365 and SaaSGovernance, Approvals, and Audit TrailsWorkflow Runner with YAML PlaybooksJira Connector with Excel RequestsData and Knowledge ConnectorsShipping MCP Integrations across Microsoft 365 TeamsLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 174 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI is moving into a new phase, with the Model Context Protocol turning isolated AI models into agents that can read files, call APIs and act across your systems. On top of that, it gave attackers a brand-new, wide-open surface. In less than two years, MCP went from being a good idea to being a critical infrastructure, and its security never kept pace. This practical, solution-focused field book is the first thing you need to get the job done.This cookbook is built around a single server and you can use it to harden things recipe by recipe. It works through more than fifty real vulnerabilities drawn from a scan of over eleven thousand production servers. You'll be closing code-execution sinks, pinning a runaway dependency supply chain, catching tools that mutate after approval, and enforcing authentication that servers only pretend to require. It'll be your job to defend the agent's own context against prompt injection and tool poisoning, lock down OAuth flows, protect consent screens, isolate untrusting servers on a shared host, and set the operational defaults that decide how far any single flaw can travel.Every recipe describes the problem, shows the working code to solve it, and proves that the solution works. If you build, run, or secure MCP servers on Linux, this book will help you turn your experience into everyday, repeatable practice.Key LearningsTreat every tool argument as attacker-controlled, and replace risky primitives with narrow, safe alternatives.Pin, hash, and audit the entire dependency tree so nothing changes without review.Catch rug pulls by hashing approved tool definitions and re-verifying them every session.Enforce authentication and per-tool authorization in code, never merely declare it in a manifest.Defend the agent context by stopping tool content from ever triggering actions.Validate token audience and issuer so a credential works only where intended.Secure OAuth flows with PKCE, bound state parameters, and per-client consent.Protect human consent against clickjacking and fatigue with framing rules and rare prompts.Isolate untrusting servers on a shared host by namespacing tools and scoping context.Contain blast radius through sandboxing, least privilege, audit logging, and rate limiting.Table of ContentExposure to Opportunity of MCPCode-Execution SinksSupply ChainRug Pulls and Tool-Definition IntegrityAuthentication and Access ControlMCP-Native and Prompt-Layer AttacksOAuth Flow and Token IntegrityConsent, Discovery, and Credential Blast RadiusAgent-Layer and Trust-Boundary AttacksOperational Hygiene and Insecure Defaults.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book practically brings you the easy-to-follow solutions wherein you can connect AI-driven automation to everyday business tools using Model Context Protocol (MCP), with Microsoft Excel and Word as the primary execution and delivery surfaces. This book focuses on practical integration patterns that developers and technical teams can apply directly in real business environments. You won't find any discussions of model internals or theoretical AI concepts here.The book presents a structured approach to building governed, auditable workflows. It shows how Excel rows act as requests, YAML playbooks define execution logic, and tools such as Jira, databases, document repositories, and reporting systems are integrated through well-defined contracts. We use Microsoft Word as a controlled output surface for reports and deliverables. There are audit logs and approval mechanisms in place to ensure transparency and traceability throughout the workflow lifecycle. I will guide you through designing MCP tool contracts, mapping Excel columns to tool arguments, normalizing results for analytics, and shaping outputs for Excel and Power BI. In this book, you will learn to implement safety patterns such as idempotency, retries, policy allowlists, tenant isolation, and least-privilege access. It includes practical chapters on connector development, authentication and secrets handling, governance controls, diagnostics, testing strategies, and deployment patterns for both scheduled and on-demand execution.I strongly recommend this book to developers, platform engineers, and technical architects who work with Microsoft 365. These professionals will learn to integrate AI-assisted workflows into existing business processes without unnecessary complexity.Key LearningsTurn Excel and Word into powerful AI-driven control and delivery hubs for business automation.Automate business workflows with AI Agents without exposing users, model internals and LLMs.Build predictable, auditable, and reusable automation using tool contracts and playbooks.Trigger real business actions across Jira, databases, and documents using Excel and Word.Make use of YAML playbooks to transform multi-step business processes into workflows.Make use of audit logs, approvals, and correlation IDs to execute transparent and compliant AI actions.Prevent duplicate actions using idempotency and request tracking.Practice versioning, policies, and strict access controls for scaling MCP connectors.Table of ContentMCP and Agent PrimerMicrosoft 365 Project BlueprintTool Contracts for Excel and Word AutomationBuilding MCP Connectors as Business ActionsAuthentication and Secrets for Microsoft 365 and SaaSGovernance, Approvals, and Audit TrailsWorkflow Runner with YAML PlaybooksJira Connector with Excel RequestsData and Knowledge ConnectorsShipping MCP Integrations across Microsoft 365 Teams.…

Taschenbuch. Condición: Neu. MCP Integrations for Microsoft 365 | Design practical AI workflows with Excel, Word, and various MS Office tools using Model Context Protocol | Zain Karl | Taschenbuch | Englisch | 2026 | GitforGits | EAN 9789349174184 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condición: Neu. Hardening MCP Servers | Hands-on recipes to secure MCP Servers from code injection, rug pulls, OAuth flaws, and prompt attacks | Zain Karl | Taschenbuch | Englisch | 2026 | GitforGits | EAN 9789349174542 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …