Fran Orozco, a data leader at BloomGrowth, is leveraging Model Context Protocols (MCPs) to streamline his data development process. MCPs provide a standardized API for AI systems to access context and use tools, allowing developers to define how tools expose capabilities to AI assistants, request actions using those tools, and automatically write code to parse/extract necessary info from tool calls. Fran is experiencing significant time savings by utilizing MCPs with tools like Cursor or Claude, enabling him to interact with Hex projects through natural language in his development environment. He has open-sourced a package called `hex-mcp` that bridges Hex's existing API endpoints with the MCP standard, allowing AI assistants to understand and use them. By using MCPs, Fran's team is accelerating development times, simplifying onboarding challenges for new engineers, and orchestrating jobs using natural language, ultimately improving their workflow and interaction with Hex as a platform.