FastAPI with MCP: Build Intelligent Python APIs with Model-Text Protocols (English Edition) pdf baixar
por Drake Duncan
Leia uma amostra
Escolha um formato:
| zip | Baixar grátis |
|---|---|
| rar | Baixar grátis |
| epub | Baixar grátis |
| Baixar grátis | |
| lit | Baixar grátis |
| odf | Baixar grátis |
Descrição do livro
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. How to build clean, production-ready FastAPI endpoints integrated with LLM-based agents Understanding and implementing the MCP message structure for model-to-agent communication Managing tools, prompts, and agent logic with reusable patterns and scalable design Running background tasks, cron jobs, and real-time agent calls Observability, logging, and tracing with tools like OpenTelemetry and Prometheus Dockerizing and deploying your FastAPI + MCP stack to Render, Fly.io, or a VPS Full 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. Backend developers and Python programmers working with APIs Engineers deploying AI agents or LLM workflows using FastAPI Professionals seeking real-world, containerized deployment strategies AI system architects adopting structured agent messaging and tool chaining FastAPI · MCP Protocol · Uvicorn & Gunicorn · Docker · Poetry · OpenTelemetry · Prometheus · Jaeger · APScheduler · Pydantic · JWT · Streamlit · React · LLM Toolchains
Technologies Covered:
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.
Autores populares
Icon Group International (402) Publishing lmgdaw (341) Nikolay Krechet (266) Unknown Author (196) Lyudmil Tsvetkov (179) Barrett Williams (166) Kennie B Journals (158) Сергей Каледин (148) Riddler Books (122) ChatGPT ChatGPT (118) NAK Legal Publishing (116) Evgeniia Naumchenko (114) Sharifa McFarlane (97) Jillo Trukudo (96) Quick Witted Coconut (94) Roggie Clark (94) Mint and Cherry Notebooks (93) Marina Buchholz B.Eng (89) Iwona Makara (87) Mary Hirose (87)
