Overview

Building Context-Aware AI Agents with MCP A Hands-On Guide to Integrating OpenAI, Claude & LangChain in Real-World Applications Bring your AI projects into the future with Model Context Protocol (MCP)-the breakthrough standard that unifies tool invocation, context persistence, and streaming for intelligent agents. If you're a developer eager to build robust, production-ready AI systems, this book is your roadmap from ""hello world"" to edge-deployed, context-aware agents. In clear, concise chapters you will: Master MCP Fundamentals Set up your environment, understand JSON-RPC transport, and learn how MCP differs from traditional function-calling and LangChain tools. Build Real-World Projects Hands-on code walkthroughs guide you through building a To-Do List Manager, multi-agent research workflows, embedding retrieval services, DevOps assistants, and more. Integrate Top AI Models Seamlessly connect OpenAI GPT-4, Anthropic Claude, and custom LangChain agents to your MCP server for unified, scalable tool orchestration. Deploy at Scale Containerize with Docker, automate CI/CD with GitHub Actions or GitLab CI, and choose between Kubernetes, serverless, or hybrid cloud deployments for maximum reliability. Ensure Security & Compliance Implement TLS, CORS, token-based authentication, audit trails, rate-limiting, and GDPR/HIPAA best practices to protect your users and infrastructure. Advance Your Career Learn industry-proven patterns in error handling, performance tuning, testing strategies, and future-proof interoperability-positioning you at the forefront of AI development. Exclusive Code Access All examples are fully self-contained in the book. For a ready-to-go code archive, email akshaypachaar.books@gmail.com with the subject ""Code Samples Request"" and receive the complete ZIP download. Ready to Lead the AI Revolution? Dive into Building Context-Aware AI Agents with MCP today-equip yourself with the skills to create intelligent, adaptable agents and transform the way applications think. Once you've built your first agent, leave an honest review on Amazon to help fellow developers discover this essential guide.

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