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FastAPI with MCP: Build Intelligent Python APIs with Model-Text Protocols
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 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 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 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 · 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.
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 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 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 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 · 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.
213 pages, Kindle Edition
Published June 10, 2025
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