Overview

Elevate your AI applications from simple chatbots to fully programmable agents with MCP AI Agents, Revised Edition. This hands-on, code-first guide walks AI developers through every step of building context-aware agents using the open Model Context Protocol (MCP), Anthropic's Claude API, OpenAI's function-calling, and leading orchestration frameworks like LangGraph and CrewAI. Inside, you'll discover how to: - Master MCP & JSON-RPC to expose your services-file readers, web scrapers, SQL queryors-as self-describing tools that any LLM can invoke. - Integrate Claude & GPT-4 seamlessly, combining Claude's deterministic tool routing with GPT-4's creative reasoning for best-of-both-worlds agents. - Build RAG pipelines with vector search (FAISS, Chroma, Weaviate) and dynamic prompt chaining to deliver up-to-date, citation-backed knowledge. - Orchestrate multi-agent workflows using LangGraph state machines and CrewAI role-based teams, ensuring resilience, retries, and resumable sessions. - Deploy production-ready infrastructure-containerize with Docker, automate CI/CD with GitHub Actions, and host on Fly.io, Railway, or Render with secure API keys, audit logs, and GDPR-compliant data flows. Featuring real-world projects-from a Claude-powered research assistant to a GPT-driven business report generator-this revised edition adds n8n no-code integration, expanded multi-model orchestration patterns, and advanced evaluation metrics for accuracy, validity, and user satisfaction. Every chapter includes complete manifests, FastAPI handlers, and command-line examples, all available in the companion GitHub repo for immediate cloning and experimentation. If you're an AI engineer, ML architect, or developer ready to ship tool-enhanced, context-aware agents that act on real data-and not just talk-MCP AI Agents, Revised Edition is your definitive, bestselling blueprint. Take your agentic systems beyond chat into real-world automation today.

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