Polished charts from simple specs . Flint allows AI agents to reliably generate expressive, visually polished charts from simple, human-editable specifications. Semantic types guide design . Flint leverages semantic data types to express meanings of data. They help the compiler choose appropriate scales, baselines, formatting, and color schemes. Layouts adapt to the data . Flint automatically manages sizing, spacing, labels, and layout so charts remain readable as cardinality and density change, without explicit user configurations. One spec can target multiple backends . A single Flint specification can compile to Vega-Lite, Apache ECharts, or Chart.js without rewriting the chart from scratch. Built for agent workflows . The open-source project includes the flint-chart library and the flint-chart-mcp server , so agents can create, validate, and render charts directly in chat or coding environments. Figure 1. Flint supports a diverse collection of visualizations with its simple spec, which can be rendered with visualization libraries like Vega-Lite, Echarts, and Chart.js. …