Weaponizing MCP Servers: Production-Ready AI Agent Infrastructure with Python #146
Description
Title of the talk
Weaponizing MCP Servers: Production-Ready AI Agent Infrastructure with Python
Abstract of the talk/workshop
Most MCP servers break under real-world load. This talk reveals the Python patterns that transform basic implementations into production-ready systems handling serious workloads.
We'll explore advanced async techniques, intelligent error handling, and performance optimizations that separate prototypes from scalable MCP infrastructure. Through live examples, we'll build servers that handle concurrent requests, implement smart caching, and recover from failures gracefully.
Attendees will discover practical patterns for connection management, memory optimization, and horizontal scaling, applicable to any high-throughput Python system. This isn’t about building your first MCP server; it’s about engineering reliable, fast infrastructure ready for production use.
Category of the talk/workshop
Data Science, Machine Learning, and AI
(also relevant to Developer Tools and Automation)
Duration (including Q&A)
30 minutes (including Q&A)
Level of Audience
Intermediate to Advanced
Speaker Bio
I’m Kushal Vijay, A Software Engineer 2 @microsoft & a Content Creator on YouTube, LinkedIn, Twitter and Instagram serving an audience of over 600,000. Previously, I have done Internships at Microsoft and StackGuardian. I have also given Tech talks at PyCon Japan'25, PyCon'22 Hong Kong and Xtreme Python'22 conferences and shared panel as well. I'm an ACM ICPC’19 Regionalist and also mentored students in Google Code-In’19 for TensorFlow Organization. I have taken 40+ Offline Sessions on AI & Tech, Judged 25+ Hackathons and 40+ Webinars across Indian Engineering colleges including IITs, IIITs, NITs etc.
Email: [email protected]
Years of Experience: 4+
Prerequisites (if any)
- Solid understanding of Python’s async/await model
- Experience working with APIs and backend systems
- Familiarity with caching, error handling, and distributed architecture concepts is helpful