SKU/Artículo: AMZ-B0G2JBCRLJ
Extending Gemini CLI: A Developer's Guide to the Model Context Protocol (MCP), Building Custom Tools, and Integrating Private Enterprise APIs
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.39 kg
0.39 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Your AI Agent is Powerful. But It Can't See Your Private Data. The Gemini CLI marks a pivotal shift from passive chat to active execution. But its built-in tools, while capable, are generic. They can't access your company's private Jira instance, query your internal databases, or automate pull requests in your GitHub Enterprise repository . This is the wall that separates a helpful assistant from a true, mission-critical collaborator. This book is not about prompting. It is about building. This is the definitive developer's guide to breaking that wall. "Extending Gemini CLI" is your practical, hands-on playbook for mastering the Model Context Protocol (MCP)—the "API for AI" that securely connects the Gemini agent to your private, proprietary, and mission-critical systems . Stop wishing your AI could "just check the internal wiki". This book shows you how to build the tools that make it possible. Inside, you will master: The MCP Architecture: Go from user to builder. Understand the complete MCP architecture, from tool discovery and communication to designing schemas with the OpenAPI specification . Core Agentic Design: Learn the hard-won principles for building reliable tools. Master concepts like "Tools, Not Chatbots" (structured JSON vs. text), Atomicity (small, composable tools), and writing effective descriptions—the real prompt engineering . Production-Grade Authentication: Secure your tools from day one. Implement the two essential patterns: static API keys for internal services and user-specific OAuth 2.0 for production-grade, delegated access. Expert Case Studies: Build three high-value, enterprise-ready tools from scratch: GitHub Enterprise Tool: Automate pull requests and read issue data . Jira Tool: Summarize sprints and report on bug status . Private Database Tool: Learn to avoid the dangerous "Text-to-SQL" Anti-Pattern and build safe, parameterized query tools for your internal data. The Deployment Blueprint: Containerize your MCP server with Docker and deploy it to AWS Lambda, Google Cloud Run, or a private VPC . Advanced Agentic Architecture: Master tool chaining, observability, and designing for failure to build a resilient, multi-agent ecosystem . This book is for the engineer, architect, or developer who sees AI not as a black box, but as a collaborator to be empowered. If you're ready to build the next generation of truly integrated AI agents, this is your starting point. Let's build the agentic future.
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AR$55.316
31% OFF
AR$38.144
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