Your AI agent calls tools, returns structured data, and loops until it gets a result — but wiring all of that together by hand is a nightmare. Pydantic Agent gives you a clean, typed interface.
A hello-world MCP server is easy to ship. A production MCP server that survives contact with real AI agents, real traffic, and real attackers requires an entirely different checklist — and this final article covers everything.
Your AI agent can browse the web, run code, and query databases — but only because someone built a custom integration for each one. There is a better way: the Model Context Protocol (MCP) replaces all that glue code with a single open standard.
Your FastAPI app serves human callers perfectly. But AI agents cannot discover your endpoints, understand their parameters, or use them safely without hand-written integration code. There is a better way — and two patterns to choose from.
