Databricks MCP Server

--- description: "Start development environment with hot reloading" --- # Start Development Environment I'll start your Databricks app development environment with hot reloading for both frontend and backend. ## What I'll do: 1. **Check current status** - See if development servers are already running 2. **Stop existing servers** - Clean up any running processes 3. **Start development servers** - Launch with proper background execution and logging 4. **Verify startup** - Ensure both frontend and backend are running correctly 5. **Show access URLs** - Provide links to your running application ## Starting Development Servers Let me start the development environment for you: **Step 1: Checking current status** ```bash ps aux | grep databricks-app ``` **Step 2: Starting development servers** ```bash nohup ./watch.sh > /tmp/databricks-app-watch.log 2>&1 & ``` **Step 3: Monitoring startup** ```bash tail -f /tmp/databricks-app-watch.log ``` ## Your Development Environment Once started, you'll have access to: - **Frontend**: http://localhost:3000 (or next available port) - **Backend**: http://localhost:8000 - **API Documentation**: http://localhost:8000/docs - **OpenAPI Spec**: http://localhost:8000/openapi.json ## Development Features ✅ **Hot Reloading** - Changes to Python and React code automatically reload ✅ **Auto-Generated Client** - TypeScript client updates when FastAPI changes ✅ **Background Execution** - Servers run in background with comprehensive logging ✅ **Process Management** - Easy to stop/start with proper cleanup ## Monitoring Your Development **View logs:** ```bash tail -f /tmp/databricks-app-watch.log ``` **Check process status:** ```bash ps aux | grep databricks-app ``` **Stop development servers:** ```bash kill $(cat /tmp/databricks-app-watch.pid) || pkill -f watch.sh ``` ## Next Steps 1. **Open your browser** to http://localhost:3000 2. **Start coding** - Changes will automatically reload 3. **Use `/status`** to check health at any time 4. **Use `/deploy`** when ready to deploy to Databricks Happy coding! 🚀