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FastAPI with MCP: Build Intelligent Python APIs with Model-Text Protocols
Paperback
Publisher: Independently Published
Published: Jun 11 2025
Pages: 242
Weight: 0.94
Height: 0.51 Width: 7.00 Depth: 10.00
Language: English
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.
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
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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