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{ "item_title" : "FastAPI with MCP", "item_author" : [" Drake Duncan "], "item_description" : "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 agentsUnderstanding and implementing the MCP message structure for model-to-agent communicationManaging tools, prompts, and agent logic with reusable patterns and scalable designRunning background tasks, cron jobs, and real-time agent callsObservability, logging, and tracing with tools like OpenTelemetry and PrometheusDockerizing and deploying your FastAPI + MCP stack to Render, Fly.io, or a VPSFull 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 APIsEngineers deploying AI agents or LLM workflows using FastAPIProfessionals seeking real-world, containerized deployment strategiesAI system architects adopting structured agent messaging and tool chainingTechnologies Covered: FastAPI - MCP Protocol - Uvicorn & Gunicorn - Docker - Poetry - OpenTelemetry - Prometheus - Jaeger - APScheduler - Pydantic - JWT - Streamlit - React - LLM ToolchainsDrake 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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/828/774/9798287742324_b.jpg", "price_data" : { "retail_price" : "20.00", "online_price" : "20.00", "our_price" : "20.00", "club_price" : "20.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
FastAPI with MCP|Drake Duncan

FastAPI with MCP : Build Intelligent Python APIs with Model-Text Protocols

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798287742324
  • ISBN-10: 9798287742324
  • Publisher: Independently Published
  • Publish Date: June 2025
  • Dimensions: 10 x 7 x 0.51 inches
  • Shipping Weight: 0.94 pounds
  • Page Count: 242

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