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MCP Server Development : A Hands-On Guide to Building Context-Aware AI Systems with OpenAI, Claude & LangChain
Context is the new currency—and Model Context Protocol (MCP) is the protocol powering the next generation of enterprise‑grade AI. Whether you’re a developer, engineer, or team lead, this book shows you how to build scalable, secure MCP servers that integrate OpenAI, Claude, and LangChain using real-world examples.
What You’ll GainArchitect Context‑Aware Servers: Learn step-by-step how to implement JSON‑RPC based MCP servers, handle snapshots and deltas, and add persistent memory with vector databases.
Hands‑On Projects: Dive into three production-scale projects—from chatbots to knowledge-base servers to automated workflows using Claude and LangChain.
Security & Compliance Built In: Equipped with GDPR-compliant erasure endpoints, structured logging, reviewer filters, and proactive red‑team simulations.
Enterprise CI/CD Toolkit: Automate rate-limit testing, predictive monitoring, dashboards, S3 publishing, Slack/Teams notifications, and auto‑remediation pipelines—all explained in code.
Diagnostics & Resilience: Includes appendices with detailed error matrices, structured logging schemas, troubleshooting exercises, a memory harness, and CI/CD dashboards.
Who This Book Is ForDevelopers building LLM-backed systems that require context awareness and memory.
Engineers & DevOps professionals responsible for secure, compliant, scalable deployments.
AI architects exploring multi-agent MCP workflows and LangChain integrations.
Book Structure at a Glance
SectionContentsFoundationsIntro to MCP, JSON‑RPC, architecture, memory snapshot/delta design
Core ImplementationBuild, test, persist, scale the basic server in Python, Node, or Go
Advanced FeaturesIntegration with OpenAI & Claude, LangChain and vector stores (FAISS, Pinecone)
Security & ComplianceAuth, encryption, GDPR/CCPA, red‑team walkthroughs, context isolation
Deployment & AutomationDocker/Kubernetes setups; GitHub Actions pipelines with dashboards and remediation
Why This Book Stands OutNot just theory—working code: All examples are runnable and well-commented. You can clone the companion GitHub repo and deploy production-ready systems.
Enterprise-ready: Built with best practices in security, observability, testing, and self-healing.
Forward-looking: Covers predictive analytics, anomaly detection, multi-agent workflows, and scalable context pipelines.
Structured and engaging: Uses scenario-based explanations, troubleshooting case studies, and even quizzes and checklists for reinforcement.
With MCP Server Development , you’re not just learning how to build—you’re learning how to architect.
What You’ll GainArchitect Context‑Aware Servers: Learn step-by-step how to implement JSON‑RPC based MCP servers, handle snapshots and deltas, and add persistent memory with vector databases.
Hands‑On Projects: Dive into three production-scale projects—from chatbots to knowledge-base servers to automated workflows using Claude and LangChain.
Security & Compliance Built In: Equipped with GDPR-compliant erasure endpoints, structured logging, reviewer filters, and proactive red‑team simulations.
Enterprise CI/CD Toolkit: Automate rate-limit testing, predictive monitoring, dashboards, S3 publishing, Slack/Teams notifications, and auto‑remediation pipelines—all explained in code.
Diagnostics & Resilience: Includes appendices with detailed error matrices, structured logging schemas, troubleshooting exercises, a memory harness, and CI/CD dashboards.
Who This Book Is ForDevelopers building LLM-backed systems that require context awareness and memory.
Engineers & DevOps professionals responsible for secure, compliant, scalable deployments.
AI architects exploring multi-agent MCP workflows and LangChain integrations.
Book Structure at a Glance
SectionContentsFoundationsIntro to MCP, JSON‑RPC, architecture, memory snapshot/delta design
Core ImplementationBuild, test, persist, scale the basic server in Python, Node, or Go
Advanced FeaturesIntegration with OpenAI & Claude, LangChain and vector stores (FAISS, Pinecone)
Security & ComplianceAuth, encryption, GDPR/CCPA, red‑team walkthroughs, context isolation
Deployment & AutomationDocker/Kubernetes setups; GitHub Actions pipelines with dashboards and remediation
Why This Book Stands OutNot just theory—working code: All examples are runnable and well-commented. You can clone the companion GitHub repo and deploy production-ready systems.
Enterprise-ready: Built with best practices in security, observability, testing, and self-healing.
Forward-looking: Covers predictive analytics, anomaly detection, multi-agent workflows, and scalable context pipelines.
Structured and engaging: Uses scenario-based explanations, troubleshooting case studies, and even quizzes and checklists for reinforcement.
With MCP Server Development , you’re not just learning how to build—you’re learning how to architect.
139 pages, Kindle Edition
Published August 4, 2025
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