Hemangi Karchalkar
Hemangi Karchalkar is a senior software engineer at EPAM Systems. Passionate about clean architecture and teaching, she has mentored several folks on modern Python stack practices.
Session
What if you could take your AI from just chatting and writing to actually doing stuff? Like, real-world tasks. Well, buckle up because the Model Context Protocol (MCP) is here to turn your language models into action heroes!
Imagine this: You’ve got an AI, but it’s not just answering your questions. It’s querying databases, fetching real-time data (like live Airbnb listings!), saving files, and even running custom tasks—all thanks to MCP.
This workshop will teach one how to enhance development workflow by integrating Model Context Protocol (MCP) servers with external data sources. Attendees will learn to automate tasks, store context in vector databases, and fetch meaningful context from external services like Google Drive and Airbnb to boost their development productivity. We'll provide a hands-on experience with MCP servers and show how they enable seamless interactions between AI models and external systems, making workflows faster and more efficient.