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Flint Chart
Flint is a visualization language that lets AI agents reliably create expressive, good-looking charts from simple, human-editable chart specs.
Install
$
npx -y flint-chart-mcpClaude Code
claude mcp add flint-chart -- npx -y flint-chart-mcpCursor / Claude Desktop (mcp.json)
{
"mcpServers": {
"flint-chart": {
"command": "npx",
"args": [
"-y",
"flint-chart-mcp"
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Flint: A Visualization Language for the AI Era
Please visit: Flint Project Site | Visual Themes | MCP Server Guide | 中文主页
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:
flint-chart: a JavaScript/TypeScript library that compiles the same Flint input into Vega-Lite, ECharts, Chart.js, Plotly, or Excel-native output.flint-chart-mcp: an MCP server that lets agents create, validate, and render charts directly from a chat or coding environment.
Try it in your agent
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 → HTTP) and Claude
(Customize → Connectors → 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.
Features
- Semantic chart specs. Flint captures what each field means using 70+
semantic types such as
Rank,Temperature,Price, orCountry. - Automatic layout. Flint adapts sizing, spacing, labels, marks, and legends to the data cardinality, chart design, and canvas constraints.
- Formal visual themes. Define layout behavior, semantic presentation, and
visual identity once, then apply them across a chart library with a preset,
custom
ThemeSpec, or inherited theme. - Multiple backends. Compile one input to backend-native output across Vega-Lite, ECharts, Chart.js, Plotly, and native Excel charts.
- Agent-ready chart authoring. The MCP server gives agents Flint tools and chart guidance so they can choose a template, validate it, and open an interactive chart view in MCP-capable clients.
Updates
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