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 ...
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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 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. Who This Book Is For: 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 Technologies 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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Add this copy of FastAPI with MCP: Build Intelligent Python APIs with to cart. $25.10, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
