MCP for developer's: Build Smarter LLM Applications With Context-Aware Workflows

What if your AI agents could understand, remember, and act just like a smart teammate?
Welcome to the world of the Model Context Protocol (MCP) a revolutionary approach that empowers software engineers to build intelligent, context-aware applications powered by large language models (LLMs). In this hands-on, developer-friendly guide, you'll go beyond basic prompts and learn to craft agents that can interact with tools, update memory, stream real-time context, and securely perform real-world tasks.
MCP for Software Engineers breaks down a fast evolving protocol with clarity, precision, and practicality. You'll explore how context actually works in LLMs, how to set up robust agent workflows using MCP, and how to safely connect your AI to APIs, files, databases, and even other agents.
In this book, you'll discover how to:
Structure and stream dynamic context into LLM-based agents
Set up your own MCP server using FastMCP, Python, and LangChain
Build tools that expose APIs, documents, or memory to AI
Integrate GitHub, Google Drive, PDF readers, and more into your workflows
Secure your agents with scopes, rate limits, and consent prompts
Monitor performance and scale with confidence
Whether you're building productivity tools, enterprise assistants, or research agents, this book gives you the framework and mindset to do it the right way modular, secure, and future-ready.
The only guide that teaches MCP from the ground up, with real-world code and practical projects.
Ready to move from simple prompts to powerful agentic systems?
Grab your copy today and start building with context.