Companion videos

MCP from scratch: build a production-ready server in TypeScript — companion videos

The article walks through building a Model Context Protocol server end-to-end — TypeScript SDK setup, tool design, schemas, stdio vs HTTP transports, auth, and the kinds of mistakes that make a server look fine in the inspector and useless in Claude. These two videos cover the same arc from two angles: a long hands-on build, and the official Anthropic workshop on how MCP fits into agentic systems.

Primary pick

1:15:25

The Ultimate MCP Crash Course - Build From Scratch

Web Dev Simplified

A full, code-along build of both an MCP server and a client in TypeScript — tool definitions, schemas, prompts and resources, stdio transport, inspector debugging. It's the closest video on YouTube to actually doing what the article asks you to do, at a pace where you can pause and follow along in your own editor.

What you should get from this: Build a first MCP server and understand how tools, schemas, prompts, resources and transports fit together.

Watch or know first: TypeScript comfort and a local environment where you can safely test tool calls.

AI Expert note: SDK APIs and inspector behavior are version-sensitive. Follow the architecture, but verify current MCP SDK signatures, transport guidance, auth expectations and error-handling patterns before using this in production.

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Also worth watching

1:44:11

Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic

AI Engineer

Anthropic's Mahesh Murag walking through MCP's design — why tools, resources, and prompts are separated, how clients negotiate capabilities, what production hosts actually do with the protocol. Watch it after the build to understand the parts of MCP the SDK quietly hides and to calibrate the article's "production-ready" checklist against the spec authors' intent.

What you should get from this: Understand how MCP fits into agentic systems beyond a local demo server.

Watch or know first: Have seen a basic MCP server build or read the protocol overview.

AI Expert note: Strong as architecture background, but not enough by itself for deployment. Pair it with current security guidance on credentials, user consent, tool permissions and hosted server exposure.

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