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Artículo: AMZ-B0FD4PJDKH
FastAPI with MCP: Build Intelligent Python APIs with Model-Text Protocols
Format:
Hardcover
Detalles del producto
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En stock
En stock
Peso con empaque
0.61 kg
0.61 kg
Devolución
Si
Si
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Unlock the power of intelligent API development with FastAPI and Model-Text Protocols (MCP).This comprehensive and practical guide teaches backend developers, API engineers, and AI system architects how to integrate FastAPI, Python’s blazing-fast web framework, with MCP (Model-Text Protocol) to create scalable, agentic, and intelligent applications. Whether you're building structured LLM workflows, chaining agent tasks, or deploying microservice-style AI pipelines, this book provides a hands-on roadmap using the most up-to-date tools and practices.Inside You'll Learn:How to build clean, production-ready FastAPI endpoints integrated with LLM-based agentsUnderstanding and implementing the MCP message structure for model-to-agent communicationManaging tools, prompts, and agent logic with reusable patterns and scalable designRunning background tasks, cron jobs, and real-time agent callsObservability, logging, and tracing with tools like OpenTelemetry and PrometheusDockerizing and deploying your FastAPI + MCP stack to Render, Fly.io, or a VPSFull project: Build and deploy a multi-agent system with FastAPI, MCP, and a front-end interface (Streamlit or React)Whether you're building agent-driven AI backends, experimenting with LangChain-style chaining, or just getting started with structured LLM protocols in Python, this book delivers expert-level guidance without the fluff.Who This Book Is For:Backend developers and Python programmers working with APIsEngineers deploying AI agents or LLM workflows using FastAPIProfessionals seeking real-world, containerized deployment strategiesAI system architects adopting structured agent messaging and tool chainingTechnologies Covered:FastAPI · MCP Protocol · Uvicorn & Gunicorn · Docker · Poetry · OpenTelemetry · Prometheus · Jaeger · APScheduler · Pydantic · JWT · Streamlit · React · LLM Toolchains Drake Duncan is a software engineer, backend architect, and technical author with deep expertise in Python-based systems, distributed architecture, and modern API design. With years of hands-on experience building production systems and AI-driven services, Drake is known for writing clear, structured, and practical programming books that help developers level up with confidence.
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