The Model Context Protocol (MCP) has become the default standard for connecting AI agents to external tools and APIs. Governed by the Linux Foundation since early 2025 and adopted by OpenAI, Anthropic, Microsoft, and Vercel, MCP is the USB-C port of the AI ecosystem — one protocol that lets any LLM application talk to any tool server. But there's a gap between reading the spec and building something that works reliably in production. I've spent the last few months building MCP servers for production agent workflows, and this guide captures the patterns that actually matter. If you've read the "6 Agent Gateway Platforms" roundups, you know which MCP servers to consume. This is the guide for when you need to build one yourself.…