MCP Engineering: Building Model Context Protocol Servers, Multi-Agent Tool Ecosystems, and Production AI Pipelines (Production AI Engineering Series) - Softcover
Book 19 of 19: Production AI Engineering Series
Synopsis
Master the Protocol That Connects AI to the Real World
The Model Context Protocol (MCP) is the emerging industry standard designed to wire LLMs directly to external tools, databases, and APIs. MCP Engineering is the first practitioner-level guide written specifically for software engineers and AI architects who need to build, secure, and scale enterprise-grade MCP systems.
What You Will Master:- MCP Foundations: Deep dive into JSON-RPC 2.0, transports (stdio, SSE), and lifecycle mechanics.
- Server Development: Build production-ready MCP servers using TypeScript and Python SDKs.
- Advanced Tool Design: Implement streaming, resource sampling, and long-running operations.
- Security Engineering: Protect your systems from prompt injection and configure OAuth 2.0 authentication.
- Production Deployment: Containerize, scale, and monitor MCP servers in serverless and cloud environments.
- Multi-Agent Ecosystems: Coordinate multiple servers and agents to build robust RAG and automation pipelines.
Whether you are building custom AI assistants, designing autonomous agents, or developing complex RAG pipelines, this guide provides the production-tested patterns, architectural blueprints, and security practices you need to succeed.
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MCP Engineering: Building Model Context Protocol Servers, Multi-Agent Tool Ecosystems, and Production AI Pipelines (Production AI Engineering Series)
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