{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/126127cb8a4942f49cda37c7c9ece9fa\" frameborder=\"0\" width=\"1896\" height=\"1422\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1422,"width":1896,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1422,"thumbnail_width":1896,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/126127cb8a4942f49cda37c7c9ece9fa-c9d4256bc0f4b9f6.gif","duration":819.218,"title":"Scaffolding Enterprise Databricks Apps with MCP 🚀","description":"In this Loom, I walk through how BeastDBx Studio standardizes an enterprise grade Databricks apps project using MCP and agent workflows. I show a three layer architecture with a builder for talking to Delta or Lakebase tables, a services project that exposes the Flask and Swagger endpoints, and a UI project deployed as a Databricks app, all communicating between each other. I also demonstrate scaffolding projects, bundle deployments, and CI setup, then running commands to build, inspect the workspace, and review what is missing like the .env template and git initialization. I requested you to follow the guided next steps and save notes as you go."}