Execute Python scripts for data analytics tasks, including data processing, visualization with matplotlib/plotly, and saving results for further analysis.
Execute Python scripts for data analytics tasks, enabling statistical analysis, chart creation with matplotlib/plotly, and storing results for further processing.
Extract data with SQL queries and visualize it using Plotly charts for dynamic UI display, connecting directly to StarRocks databases via the MCP server.
Enables loading and statistical analysis of .xlsx and .csv files with visualization capabilities using matplotlib and plotly to generate various graphs and charts.
Enables molecular visualization and analysis from SMILES strings using multiple rendering approaches (RDKit, NetworkX, Plotly, matplotlib), providing detailed molecular properties, validation, and batch processing capabilities for chemical structures.