Model Context Protocol (MCP) Servers in Python: Build production-ready FastAPI & WebSocket MCP servers that power reliable LLM integrations

Chandler, Newman

/ ISBN 13: 9798263769758

Published by Independently published, 2025

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Synopsis:

Model Context Protocol (MCP) Servers in Python: Build production-ready FastAPI & WebSocket MCP servers that power reliable LLM integrations
Modern AI demands more than just smart models, it requires robust infrastructure that connects, manages, and scales Large Language Models (LLMs) with reliability and speed. As the backbone for secure, real-time, and context-aware LLM workflows, Model Context Protocol (MCP) servers have become an essential building block for developers and teams who are serious about production-grade AI.

Are you struggling to build seamless LLM-powered applications, or looking for a proven architecture that delivers speed and reliability at scale? This book offers the practical blueprint you need.

Model Context Protocol (MCP) Servers in Python is the hands-on guide for engineers and architects ready to move from fragmented prototypes to scalable, production-ready MCP server infrastructure. Harness the power of FastAPI and WebSocket to orchestrate context-driven AI workloads, route messages, manage memory, enforce security, and deliver high-throughput, low-latency integrations across diverse LLMs.

Inside, you’ll learn how to:

• Build MCP servers from scratch using FastAPI and Python, ready for cloud deployment.

• Implement bi-directional streaming with WebSocket to enable true real-time interactions.

• Architect context stores, session management, and robust memory for multi-turn conversations and agent workflows.

• Secure your server with authentication, RBAC, secrets management, and modern API security best practices.

• Integrate LLMs and agent tools for advanced automation and agentic pipelines.

• Optimize for scalability, observability, and fault tolerance in real production environments.

Whether you’re building internal developer platforms, custom RAG pipelines, or AI-powered chat, this book distills the patterns, code, and strategies required to achieve reliability and velocity in your MCP stack. Every chapter delivers practical insight, hands-on labs, and fully runnable code examples verified against the latest Python and FastAPI releases.

If you’re ready to transform your LLM applications from experiments to production systems, this is the definitive guide you’ve been searching for.

Start building reliable, scalable, and secure MCP servers in Python, take your AI integrations to the next level now.

Bibliographic Details

Title: Model Context Protocol (MCP) Servers in ...
Publisher: Independently published
Publication Date: 2025
Binding: Soft cover
Condition: New