SKU/Artículo: AMZ-B0G13PB5WY
Playwright MCP Mastery Framework: Build Context-Aware AI Agents with JSON-RPC 2.0 and Live Browser Automation: The Hands-On Guide to Scalable, Secure, and Future-Proof AI Toolchains
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.33 kg
0.33 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Playwright MCP Mastery is the definitive, hands-on blueprint for engineering production-ready context-aware AI agents using the Model Context Protocol (MCP) and Playwright browser automation. Built on JSON-RPC 2.0, MCP is the open-standard “USB-C of AI” that unifies LLM orchestration, real-time web interaction, and enterprise tool integration into a single, modular, and future-proof framework. This comprehensive guide takes you from MCP fundamentals—protocol handshake, message tracing, schema validation—to advanced Playwright MCP server architecture, enabling headless browser automation, dynamic DOM navigation, form submission, structured data scraping, and multi-step autonomous workflows. Learn to decouple AI logic (MCP clients) from tool execution (MCP servers) using microservices, plugin systems, and secure sandboxing. Master testing and debugging with Playwright Trace Viewer, mock servers, context timeout strategies, and end-to-end regression suites. Deploy at scale with Docker, Kubernetes, load-balanced browser pools, mTLS security, and Prometheus monitoring. Explore the future of context-aware AI—autonomous long-running agents, multi-modal context, inter-protocol bridging, and community-driven MCP extensions. Packed with full protocol traces, boilerplate code (Node.js, Python, .NET), security checklists, and real-world case studies, this book equips developers, AI engineers, and architects to build scalable, secure, and intelligent AI systems that interact with the live web and enterprise data like never before.
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