Create visualizations in Apache Superset by specifying chart type, data source, and parameters to generate charts like bar, line, or pie charts for data analysis.
Create charts from tabular data using various visualization types like line, bar, and pie charts, with options for data analysis suggestions and format customization.
Create visualizations from tabular data in CSV or SQLite files. Generate bar, line, scatter, histogram, pie, or box charts with customizable axes and grouping. Output charts as base64-encoded PNG images or save to files for data analysis.
Create pie charts to visualize proportional data like market share or budget allocation. Customize charts with themes, colors, and styles to display data distributions clearly.
Create dynamic, interactive charts using Apache ECharts by providing customizable configurations. Export visualizations as PNG, SVG, or raw option formats for seamless integration into web applications.
An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
A Model Context Protocol server that generates lightweight ASCII charts directly in terminal environments, supporting line charts, bar charts, scatter plots, histograms, and sparklines without GUI dependencies.
A CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.