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Home > Computing and Information Technology > Computer science > Artificial intelligence > Natural language and machine translation > FastAPI MCP: Hands-On Guide to Building and Deploying AI Backends with the Model Context Protocol
FastAPI MCP: Hands-On Guide to Building and Deploying AI Backends with the Model Context Protocol

FastAPI MCP: Hands-On Guide to Building and Deploying AI Backends with the Model Context Protocol


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About the Book

FastAPI MCP: A Hands-On Guide to Building and Deploying AI Backends with the Model Context Protocol Build real, production-grade, context-aware applications without the hype. This book shows you exactly how to combine FastAPI and the Model Context Protocol (MCP) to ship secure, observable, scalable AI backends. You will design clean JSON-RPC contracts, make LLM calls through adapters, keep conversation state small and safe, and deploy with confidence. What you will learn FastAPI done right: routing, validation with Pydantic, dependency injection, async I/O MCP fundamentals: loading, transforming, and persisting context with transformers and plugins JSON-RPC in practice: strict envelopes, notifications, batching, and idempotency LLM integration: adapters, streaming responses, tool and function calling Security and compliance: OAuth2 and JWT, tenant isolation, field-level encryption, masking, and GDPR-ready DSR flows Performance: asyncio concurrency, Redis caching, timeouts, retries, circuit breakers, and rate limits Data access: async SQLAlchemy, transactions, and migrations Observability: structured logs, metrics, and distributed tracing with OpenTelemetry Deployment: Docker images tuned for Uvicorn, Kubernetes rollouts, autoscaling, and health probes Testing: pytest unit, integration, and end-to-end suites that keep you safe to refactor Projects you will build Context-aware customer support assistant with triage, drafting, and policy guardrails NLQ analytics service that turns natural language into safe SQL and concise narratives Real-time streaming and alerts over WebSockets, plus service-to-service MCP calls Who this book is for Developers and backend engineers who want working code over theory. If you know Python and basic web APIs, this guide takes you from first route to multi-region deployment. Why this book Every chapter ends with runnable examples and a mini-project. Patterns are production focused: filter -> guard -> load context -> invoke adapter -> transform -> persist -> observe. By the end you will ship context-aware features your users can trust and evolve them without rewrites.


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Product Details
  • ISBN-13: 9798297202207
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 214
  • Returnable: N
  • Sub Title: Hands-On Guide to Building and Deploying AI Backends with the Model Context Protocol
  • Width: 178 mm
  • ISBN-10: 8297202208
  • Publisher Date: 09 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 11 mm
  • Weight: 381 gr


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