
MCP in Practice — Complete Series
A practical, production-oriented guide to the Model Context Protocol — from the integration problem it solves to building your first working server. The Series Part 1: Why Connecting AI to Real Systems Is Still Hard The N×M integration problem, the hidden cost of custom connectors, and why AI needs a standard protocol layer. Part 2: What MCP Is and How AI Agents Connect What MCP standardizes, the three capability types (tools, resources, prompts), and how it differs from REST. Part 3: How MCP Works — The Complete Request Flow The full protocol lifecycle — initialization, capability discovery, JSON-RPC messages, and transport layers. Part 4: MCP vs Everything Else A practical comparison of MCP vs APIs, plugins, function calling, and agent frameworks — when to use each. Part 5: Build Your First MCP Server (and Client) A guided minimal lab — one eCommerce server, one client, and a complete MCP system you can run locally. This series is actively maintained. New parts will be linked here as
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