The AI revolution is here, but there’s a critical problem: how to effectively connect AI models with existing data infrastructure and systems? Many reinvents the wheel when integrating data from multiple sources, such as databases, APIs, file systems, and other tools. Imagine if every appliance needed custom wiring instead of plugging into a standard outlet.
Model Context Protocol (MCP) solves this by creating a universal standard for AI-tool communication, and Python is emerging as the language for building these integrations.
This talk will transform how you think about building AI-powered applications. You’ll learn to create MCP servers that make your Python applications instantly accessible to any AI model – from Claude to GPT to local LLMs – through a standardized, secure interface.