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Azure API Management for AI Agents and MCP: A Hands-On Guide to Securing and Scaling AI APIs, MCP Servers, Agent Tools, Microsoft Foundry, and Enterpr
Paperback
General ComputersProgrammingComputer Security
Publisher: Independently Published
Published: Sep 18 2026
Pages: 278
Weight: 1.07
Height: 0.58 Width: 7.00 Depth: 10.00
Language: English
Building secure, production-ready AI systems can feel overwhelming when APIs, agents, identity, MCP, cloud networking, monitoring, and deployment all seem to come together at once. This book turns that complexity into a clear, practical path you can follow step by step.
Azure API Management for AI Agents and MCP shows you how to use Azure API Management as a secure enterprise gateway for AI agents, model APIs, MCP servers, agent tools, Microsoft Foundry workloads, and traditional enterprise APIs.
You do not need previous experience with Azure API Management, Model Context Protocol, Microsoft Foundry, or advanced AI gateway architecture. Concepts are introduced progressively, configurations are broken into manageable steps, and each chapter builds on the one before it. Mistakes and failed configurations are treated as part of the learning process, helping you understand not only what works, but why something fails and how to fix it.
Through an evolving enterprise AI gateway project, you will move from a simple APIM environment to a secure, observable, scalable, and production-ready architecture.
Key FeaturesHands-on, step-by-step guidance built around a realistic enterprise project
Practical exercises and optional challenges in every chapter
Clear explanations of Azure API Management policies and architecture
Real-world coverage of AI gateways, MCP, Microsoft Foundry, security, resilience, monitoring, and automation
Troubleshooting guidance that normalizes mistakes and helps you learn from them
Production-focused reference material for security, policies, deployment, and operations
Build Azure API Management as an enterprise AI gateway
Secure agents and APIs with Microsoft Entra ID, OAuth, managed identities, and private networking
Govern Microsoft Foundry and Azure OpenAI model APIs with token limits, quotas, content safety, and semantic caching
Expose enterprise REST APIs as MCP tools and protect remote MCP servers
Apply rate limiting, backend pools, retries, circuit breakers, and high-availability patterns
Monitor AI traffic with Azure Monitor and Application Insights
Automate APIM infrastructure with Bicep, source control, and CI/CD
Design production-ready governance for APIs, models, MCP tools, and agent interfaces
Ideal for developers, API and platform engineers, cloud professionals, architects, DevOps practitioners, and self-learners who want practical experience building governed enterprise AI infrastructure. Basic familiarity with APIs and cloud concepts is helpful, but advanced APIM or MCP experience is not required.
Table of ContentsAzure API Management as the Enterprise AI Gateway
Securing AI Agents and Enterprise APIs
Governing AI Models and Model APIs
Exposing Enterprise APIs as MCP Tools
Governing Remote MCP Servers and Agent APIs
Traffic Management, Resilience, and Scale
Microsoft Foundry and Governed Agent Workflows
Observability, Troubleshooting, and Cost Control
Infrastructure as Code and CI/CD
Production Architecture and Enterprise Governance
Start building with confidence today. Follow the examples one step at a time, celebrate each working gateway, secured endpoint, and successful deployment, and develop the practical skills needed to build enterprise AI systems that are secure, observable, scalable, and ready for production.
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