Mastering Anthropic API: Build Secure, Ethical, and Scalable AI Apps with Claude and MCP
Are you ready to transform Claude and MCP into the backbone of your next AI application? In Mastering Anthropic API, you’re invited to step beyond basic prompts and learn how to architect solutions that are secure, ethical, and built to scale with Claude’s latest models and the Model Context Protocol. Whether you’ve tinkered with generative AI before or you’re a seasoned engineer eyeing the cutting edge, this book shows you exactly how to turn potential into production-grade apps—without veering into theoretical abstractions.
From your first authenticated API call to deploying agentic workflows, you’ll discover practical patterns and battle-tested scripts that bridge the gap between concept and live systems. Inside, you’ll find:
A clear path for setting up your environment, managing tokens, and choosing between Sonnet 4, Opus 4, or Opus 4.1 to balance cost, speed, and context length.
Hands-on guidance for crafting prompts that enforce precise behavior and output formats—complete with templates that scale from simple summaries to full-blown code generation.
Recipes for integrating Claude with internal and third-party services via MCP—GitHub, Stripe, Google Drive, and your own custom connectors—so you can orchestrate multi-step workflows in natural language.
Strategies for embedding document retrieval, vision inputs, and continuous evaluation to build Retrieval-Augmented Generation and vision-powered apps that never hallucinate.
Security and governance best practices, including threat models, prompt-injection defenses, and access-control patterns that keep your AI stack bullet-proof.
By the last chapter, you will have a playbook in hand: full code examples, configuration scripts, and architectural blueprints for production deployment. You’ll emerge fluent in Anthropic’s ecosystem—Claude API, Claude Code, and MCP servers—and equipped to evolve your applications as models grow smarter and protocols advance.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Mastering Anthropic API: Build Secure, Ethical, and Scalable AI Apps with Claude and MCP Are you ready to transform Claude and MCP into the backbone of your next AI application? In Mastering Anthropic API, you're invited to step beyond basic prompts and learn how to architect solutions that are secure, ethical, and built to scale with Claude's latest models and the Model Context Protocol. Whether you've tinkered with generative AI before or you're a seasoned engineer eyeing the cutting edge, this book shows you exactly how to turn potential into production-grade apps-without veering into theoretical abstractions.From your first authenticated API call to deploying agentic workflows, you'll discover practical patterns and battle-tested scripts that bridge the gap between concept and live systems. Inside, you'll find: A clear path for setting up your environment, managing tokens, and choosing between Sonnet 4, Opus 4, or Opus 4.1 to balance cost, speed, and context length.Hands-on guidance for crafting prompts that enforce precise behavior and output formats-complete with templates that scale from simple summaries to full-blown code generation.Recipes for integrating Claude with internal and third-party services via MCP-GitHub, Stripe, Google Drive, and your own custom connectors-so you can orchestrate multi-step workflows in natural language.Strategies for embedding document retrieval, vision inputs, and continuous evaluation to build Retrieval-Augmented Generation and vision-powered apps that never hallucinate.Security and governance best practices, including threat models, prompt-injection defenses, and access-control patterns that keep your AI stack bullet-proof.By the last chapter, you will have a playbook in hand: full code examples, configuration scripts, and architectural blueprints for production deployment. You'll emerge fluent in Anthropic's ecosystem-Claude API, Claude Code, and MCP servers-and equipped to evolve your applications as models grow smarter and protocols advance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798298800907
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