Price: $18.65 - $29.99
(as of Aug 02, 2025 02:08:10 UTC – Details)
MCP Server Development with Python: A Developer’s Guide to Building Intelligent Tool-Integrated Agents with Model Context Protocol is not just another developer guide—it’s the definitive, hands-on manual for building the future of AI-driven systems. Whether you’re creating internal copilots, deploying enterprise agents, or integrating LLMs with production-grade tools, this book delivers everything you need to design, build, and scale structured AI automation with real-world impact.
Forget vague abstractions and overhyped frameworks. This book gets straight to what matters: building intelligent systems with discipline, precision, and power.
What Makes This Book Different
– It’s 100% developer-first, teaching you how to build toolchains, invoke functions with context, and deploy fast.
– It’s deeply practical—each chapter includes working tool code, metadata schemas, LLM prompts, deployment setups, and debugging strategies.
– It builds a real, extensible system—not throwaway examples. You walk away with an actual MCP server that runs tools, streams LLMs, handles context, and scales in production.
– It shows you how to extend beyond limits—with dynamic tool generation, multilingual input, GPU and container backends, performance logging, memory persistence, and more.
What You’ll Learn Inside
– The core architecture of the Model Context Protocol and why it enables safer, structured AI
– How to build and register tools with clean metadata, input/output validation, and contract enforcement
– How to integrate GPT, Claude, and open-source LLMs using prompt-controlled tool planning
– How to securely invoke APIs, handle files, transcribe audio, and summarize PDFs
– How to deploy on Railway, Render, and Hugging Face, including Docker + Gunicorn + Uvicorn setups
– How to profile tool latency, handle LLM errors, cache outputs, and stream real-time results
– How to build your own internal tool market, queryable by agents and devs alike
– How to dynamically generate tools from LLMs and build your own execution backends
– How to contribute to the growing MCP ecosystem and create intelligent systems that think through structured actions
Who This Book Is For
– Developers building LLM-based tools, agents, or copilots
– AI engineers integrating language models with APIs, files, and dynamic data
– Backend engineers deploying FastAPI services with structured execution layers
– Enterprise teams looking to standardize automation through contracts and schema
– Open-source contributors interested in protocols, tool markets, or agent infrastructure
– Anyone who wants to turn powerful AI into safe, composable, and real-world usable systems
If You’re Tired of Hype and Ready to Build
This book gives you the full blueprint—technical, architectural, and operational—to create a modern AI platform grounded in clarity, extensibility, and control.
Whether you’re an indie developer or scaling an enterprise assistant, this book is your launchpad for building structured, intelligent systems with LLMs and tools that actually work.
MCP Server Development with Python isn’t just a book. It’s a system you’ll own, shape, and run—with clarity from page one to production.
ASIN : B0F4KKXKB3
Accessibility : Learn more
Publication date : April 20, 2025
Language : English
File size : 606 KB
Simultaneous device usage : Unlimited
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 475 pages
Page Flip : Enabled
Best Sellers Rank: #331,255 in Kindle Store (See Top 100 in Kindle Store) #61 in Natural Language Processing (Kindle Store) #85 in Neural Networks #108 in Natural Language Processing (Books)
