{ "item_title" : "Local Ai Agents with Mcp", "item_author" : [" Tavian Rellor "], "item_description" : "Build private AI agents that can do more than chat.Local AI Agents with MCP is a practical, project-driven guide to building capable AI agents that run on infrastructure you control.Follow the evolving Lantern system as you move from local model inference to real-world agent engineering with Ollama, llama.cpp, Model Context Protocol (MCP), RAG, memory, tool calling, durable workflows, and multi-agent systems.You'll learn how to: Run and compare local LLMs with Ollama and llama.cppConnect AI agents to tools and data using MCP serversBuild private RAG over local knowledgeAdd useful, controlled agent memoryDesign reliable tool-use and multi-step agent workflowsBuild and coordinate multi-agent systemsDefend against prompt injection and unsafe tool executionAdd permissions, approvals, tracing, evaluation, and regression testsDeploy a private AI agent stack you can observe, secure, and recoverInstead of hiding complexity behind a framework, this book shows you how an agent actually works-from model decisions and tool calls to permissions, verification, and production deployment.Perfect for Python developers, AI engineers, technical learners, and anyone building private or local AI systems.Build agents that are local, capable, observable, and under your control.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/817/865/9798178654460_b.jpg", "price_data" : { "retail_price" : "34.97", "online_price" : "34.97", "our_price" : "34.97", "club_price" : "34.97", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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