txt FastAPI with MCP: Build Intelligent Python APIs with Model-Text Protocols (English Edition)

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

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.