Using MCP to Build Safe, Auditable AI Systems in Python (Maria Silvia Mielniczuk) - PyTexas 2026 @PyTexas
Using MCP to Build Safe, Auditable AI Systems in Python (Maria Silvia Mielniczuk) - PyTexas 2026  @PyTexas
Uploaded June 2026 | Updated September 2026, 1 week ago
As developers connect LLMs to real-world systems, safety and control become critical concerns.

This talk introduces the Model Context Protocol (MCP) and demonstrates how to design structured, auditable, and secure AI integrations using Python.

---

🎤 Speaker: Maria Silvia Mielniczuk

Maria is a data scientist at Splunk (Cisco), specializing in big-data challenges across industries.

---

🔗 Conference Info
pytexas.org/2026

📬 Subscribe
pytexas.org/newsletter
Using MCP to Build Safe, Auditable AI Systems in Python (Maria Silvia Mielniczuk) - PyTexas 2026Verbs, Not Nouns: Writing Documentation Users Want to Read (Brian MacDonald) - PyTexas 2025Lessons learned maintaining open source Python projects (Bernat Gabor) - PyTexas 2024Gathering Insights from Audio Data (Ryan Bales)Recursion for Beginners: A Beginners Guide to Recursion (Al Sweigart) - PyTexas 2023Developing interactive visualizations for the web using BokehClasses and MetaclassesCaroline Dikibo - Lessons Learned from Civic Hacking (PyTexas 2017)Steven Cutting - Practical Packaging For Machine Learning Solutions (PyTexas 2017)Am I a bad person? Beginner mistakes with privacy and ownership (Abby Carey)Data Engineers survival guide: write pipelines that dont break @3AM (Indrasena Manga)-PyTexas 2026Lightning Talks (PyTexas 2017)
PyTexas |

Using MCP to Build Safe, Auditable AI Systems in Python (Maria Silvia Mielniczuk) - PyTexas 2026

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER