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Please visit: Flint Project Site | Visual Themes | MCP Server Guide | δΈζδΈ»ι‘΅
Flint is a visualization intermediate language that lets AI agents turn simple, human-editable chart specs into expressive, polished visualizations. Rather than requiring agents to hardcode verbose parameters for scales, axes, spacing, labels, and layout, Flint derives those decisions from a high-level semantic specification, the data, and an optional visual theme (e.g., New York Times, Economist, Swiss, and McKinsey). A compact spec compiles to native Vega-Lite, ECharts, Chart.js, Plotly specs, or editable Excel charts.
This repo contains two main components:
Try Flint with your agent using our hosted MCP server. Clients that support remote HTTP MCP servers include GitHub Copilot in VS Code (MCP: Add Server β HTTP) and Claude (Customize β Connectors β Add custom connector). Point either client at:
https://flint.data-formulator.ai/mcp
Then ask your agent to find some public data and visualize it, for example:
Go to Yahoo Finance, find today's percentage change for the Magnificent Seven
tech stocks, and compare their performance with Flint in Economist style.
For a local MCP server (recommended for large datasets), check the MCP Server Guide for details.
See the changelog for complete release notes.
Flint turns compact chart specs into backend-native specs and rendered visualizations.
# Use Flint in your JavaScript/TypeScript codebase
npm install flint-chart
# For agents and MCP clients
npx -y flint-chart-mcpPython package: to be released. The current Python port is a source-only preview in this repo.
Every backend accepts the same ChartAssemblyInput and returns the target library's native spec object.
import { assembleVegaLite } from 'flint-chart';
const spec = assembleVegaLite({
data: { values: myData },
semantic_types: { weight: 'Quantity', mpg: 'Quantity', origin: 'Country' },
chart_spec: {
chartType: 'Scatter Plot',
encodings: { x: { field: 'weight' }, y: { field: 'mpg' }, color: { field: 'origin' } },
baseSize: { width: 400, height: 300 },
},
});
// β a ready-to-render Vega-Lite specSwap the backend without changing the input shape:
import { assembleECharts, assembleChartjs, assemblePlotly, assembleExcel } from 'flint-chart';
const echartsOption = assembleECharts(input);
const chartjsConfig = assembleChartjs(input);
const plotlyFigure = assemblePlotly(input);
const excelArtifact = assembleExcel(input);theme_spec sits beside chart_spec: the chart spec defines what the chart means, while the theme defines how that meaning is presented. A theme can guide layout, labels, legends, axes, mark geometry, typography, and color as one coherent visual system.
Use one of Flint's ten built-in presets:
const themedSpec = assembleVegaLite({
...input,
theme_spec: 'economist',
});Or inherit a preset and override only the decisions that belong to your brand:
const brandedSpec = assembleVegaLite({
...input,
theme_spec: {
extends: 'economist',
id: 'our-brand',
ink: {
series: { single: '#6b3fa0' },
},
},
});Nested objects merge; arrays and scalar values replace the inherited value. ThemeSpec currently affects Vega-Lite output. Compare all presets on the theme explorer. See Using themes for the complete custom and inherited-theme reference.
Economist β compact editorial graphics with a strong red accent.
Swiss β typographic structure, restrained color, and a clear visual grid.
Pop β bold color, emphatic marks, and playful graphic contrast.
See the API reference, backend references for Vega-Lite, ECharts, Chart.js, Plotly, and Excel, plus the live editor for more library examples.
Install flint-chart-mcp as a Model Context Protocol server when you want an agent to create charts in the same conversation where the question starts. It can open an interactive chart view, return static PNG/SVG output, or produce backend-native chart specs.
For setup, start with the Flint MCP project page. It includes client configuration, usage examples, and links to deeper references.
MCP calls let agents embed rows directly as data.values, or read local JSON, CSV, or TSV files by data.url. For agent workflows without MCP, use the standalone agent skill.
flint-chart/ βββ packages/ β βββ flint-js/ npm package `flint-chart` (TypeScript) β β βββ src/ β β βββ core/ semantics, themes, layout, decisions, shared types β β βββ chart-types/ shared chart definitions and template metadata β β βββ vegalite/ Vega-Lite backend β β βββ echarts/ ECharts backend β β βββ chartjs/ Chart.js backend β β βββ plotly/ Plotly backend β β βββ excel/ native Excel backend β β βββ gallery/ gallery assembly and generated references β β βββ test-data/ fixtures and stress-test generators β βββ flint-mcp/ MCP server, MCP App UI, assets, and tests β βββ flint-py/ Python port preview (package to be released) βββ site/ Vite + React project site, gallery, editor, and docs βββ agent-skills/ chart- and theme-authoring skills for agents βββ agents/ agent and MCP server configuration βββ shared/test-data/ JSON fixtures shared across JS and Python βββ scripts/ reference generation and theme audit tooling βββ docs/ user, API, backend, and architecture documentation βββ design-docs/ design proposals and implementation research
The project site is the main entry point for examples, the live editor, and concept docs. For source-level references, start with the API reference, the theme guide, the Flint MCP project page, or the Development guide. See the changelog for notable changes in each release.
Contributions are welcome! See .github/CONTRIBUTING.md and the Development guide.
git clone https://github.com/microsoft/flint-chart
cd flint-chart
npm install # root workspaces: packages/flint-js + flint-mcp + site
npm run typecheck # typecheck packages/flint-js + packages/flint-mcp
npm run test # Vitest (packages/flint-js + packages/flint-mcp)
npm run build # build packages/flint-js + packages/flint-mcp
npm run site # demo site (gallery + editor) at http://localhost:5274/Node 18+ is required. The demo site aliases flint-chart to packages/flint-js/src, so library edits hot-reload in the gallery and editor without rebuilding dist/.
We especially welcome contributions that add new chart templates or new rendering backends.
This project has adopted the Microsoft Open Source Code of Conduct. See SECURITY.md to report vulnerabilities.
Flint is built by Microsoft Research in collaboration with the IDEAS Lab, Renmin University of China. We welcome you to join us β see Contributing to get involved.
A research paper describing Flint is coming soon.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos is subject to those third parties' policies.
MIT Β© Microsoft Corporation
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