The first production failure is usually quiet. A tool call times out, the model gives the user a vague apology, and nobody can tell whether the MCP server crashed, an upstream API slowed down, the client sent bad arguments, or a proxy dropped the connection.

The difference between a demo MCP server and a production MCP server is not the number of tools. It is the discipline around every tool call: authorization, input validation, rate limits, timeouts, structured logs, metrics, graceful shutdown, and clear error handling.

This lesson walks through those patterns with Python examples you can adapt. Treat the code as building blocks, not as a complete framework.