PyCon GR 2025

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Building Production‑Ready AI Agents with FastAPI, Pydantic‑AI & MCP
.ical
2025-08-30 –, Innovathens - Tutorial room

In this 60‑minute tutorial I will show you how to build a robust, scalable AI‑powered web service
by combining three cutting‑edge, open‑source technologies:

1.FastAPI for high‑performance asynchronous APIs

  1. Pydantic‑AI for type‑safe, schema‑driven agent construction

  2. Model Context Protocol (MCP) servers (from modelcontextprotocol/servers) as
    plug‑and‑play tools

You’ll learn advanced data modeling patterns, integrate multiple LLMs, and wire up an MCP
“Filesystem” tool so your AI agent can securely read real data at runtime. By the end, you’ll
have a production‑ready template you can extend with any MCP server (web search, database
access, GitHub, etc.) and confidently deploy in Docker in your Homelab or in Cloud.

The speaker’s profile picture
Petros Savvakis

Tech Lead - Ethniki Asfalistiki, I spin up cloud-native apps and microservices with Python, FastAPI, and Kubernetes, fusing my software chops with a dash of robotics wizardry. Always tinkering with the next shiny and cool ideas, I turn bold experiments into rock-solid, infinitely scalable solutions.