FastAPI & MCP in Python: Build High-Performance AI Agent Services
Are you ready to build next-generation AI agent services-fast, reliable, and production-ready?
If you want to design robust agent pipelines, integrate powerful tools, and scale your AI solutions with confidence, this book delivers everything you need.
This comprehensive guide brings together FastAPI-the leading Python web framework for modern APIs-and the Model Context Protocol (MCP), an emerging standard for agent communication.
You'll move step-by-step from foundational concepts to advanced, real-world implementations. No abstract theory-just proven, practical strategies, clear explanations, and fully working code.
What sets this book apart?
Essential Building Blocks:
Learn how to structure your FastAPI projects, manage dependencies, and implement security best practices.
Hands-On Agent Pipelines:
Follow detailed walkthroughs for creating MCP-compliant services, from tool definition and request-reply handlers to streaming, error handling, and tool orchestration.
Real-World Features:
Discover how to add authentication, logging, monitoring with Prometheus, and tracing with OpenTelemetry. Explore advanced concurrency patterns, serverless deployment with AWS Lambda, and resilient error recovery.
Testing and CI/CD:
Master automated unit, integration, and contract testing. Streamline delivery with ready-to-use CI/CD pipelines for quality and speed.
Actionable Guides:
Put knowledge into practice with hands-on projects: weather alert tools, research assistant pipelines, interactive dashboards, and more.
Are you looking for a guide that balances clarity, depth, and hands-on practicality?
This book is packed with examples, concise tips, and solutions to common challenges faced by modern Python developers building agentic systems.
Take your AI services from idea to production-order your copy of "FastAPI & MCP in Python: Build High-Performance AI Agent Services" today and start building with confidence.