Enables Claude Code to create and edit presentation-grade visualizations such as cloud architecture diagrams, charts, KPI dashboards, and poster infographics, with auto-layout, themes, and export to SVG, PNG, JPG, and PDF.
Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.
Enables AI assistants to create interactive charts, diagrams, and tables displayed on a real-time dashboard, supporting multiple data sources with privacy-focused local execution.
A comprehensive MCP server that provides intelligent access to the HoloViz ecosystem, enabling AI assistants to help you build interactive dashboards and data visualizations with Panel, hvPlot, Lumen, Datashader, and your favorite Python libraries.
Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.
