MCP Security Horror Stories: AI Agents vs. Your Product

I’m Emmanuel, 3x VP Product, now a founder at Level 250.

If you built or used APIs in the past 15 years, chances are you’ve used one of my products:

I’ve led some of the most influential API tools: Apiary (550,000+ APIs), Swagger (750,000+ APIs) and Oracle’s first Cloud-Native API Gateway. Before that, I built large B2B API programs at Verisk, Moody’s, and Precisely.

Today, I advise Fortune 500 CEOs and AI-forward startup founders on API Strategy, Developer Experience, MCP products, and AI agent readiness.

I'm also a member of OpenAPI and a featured speaker at apidays and other global technology conferences.

My passion is helping others build products, which is why I also teach on Maven: to share my lessons learned and help Product Managers and Engineers fast-track their careers.

Kyle Stratis, Founder of Stratis Data Labs is an accomplished engineer, author, and consultant specializing in AI, data, and cloud strategies, with a proven track record of driving transformational change in technology-driven organizations.

He spearheaded initiatives that revolutionized R&D efficiency, identifying process bottlenecks and implementing impactful solutions that reduced model training time from a full day to just 15 minutes, and is the author of AI Agents with MCP, published by O’Reilly Media.

His innovations include an automated model training pipeline, a rapid data preprocessing feature store, and a model definition composer that empowered cross-functional teams to deliver custom solutions swiftly.

Anthropic released the Model Context Protocol at the end of 2024, and it quickly became the standard way to turn a chatbot into an agent that can act, plan, and use tools on its own. This book goes deep on MCP, well beyond the documentation. You’ll build up your own client and then a server, both supporting the full spec in Python, and get a real feel for how the protocol works along the way.