Overview

Stop struggling with disconnected AI projects-unlock your potential by using the Model Context Protocol to build Python AI agents that actually deliver results. If you're tired of juggling disparate APIs and cobbling together brittle integrations, you're not alone. You want to build AI agents with Python but you're facing a steep learning curve: frameworks don't talk to each other, retrieval-augmented generation with Python feels daunting, and there's no clear path from concept to a working agent. This book fixes that problem by providing a hands-on AI agent project and Python automation agent tutorial that guides you step by step through the entire process-from setting up an MCP server and client to orchestrating complex workflows with an AI tool calling framework. Comprehensive MCP server & client guide: Learn how to configure, extend, and secure your servers and clients for enterprise-grade reliability. Hands-on AI agent projects: Build multiple agents from scratch and deploy them in real-world scenarios, including multi-agent systems in Python for collaboration. Retrieval-augmented generation with Python: Integrate vector stores and RAG techniques to ground your agents with accurate, up-to-date information. AI tool calling framework: Master tool orchestration so your agents can access data, perform actions and chain tasks seamlessly. LangChain & LlamaIndex integration: Combine popular frameworks with MCP to supercharge your agents' capabilities and accelerate development. Ready to transform your AI development? Get your copy of Hands-On Python MCP Projects today and start building professional-grade agents-equipped with the skills and frameworks you need to succeed.

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