flint-chart — MCP Server by microsoft

by microsoft · MCP Server · ★ 119

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About flint-chart

Flint: A Visualization Language for the AI Era Please visit: Flint Project Site | MCP Server Guide Flint is a visualization intermediate language that lets AI agents create expressive, polished visualizations from simple, human-editable chart specs. Instead of asking agents or developers to tune verbose chart configuration details such as scales, axes, spacing, labels, and layout, the Flint compiler derives optimized chart settings from the data, semantic types, chart type, and encodings. The result is a compact chart specification that agents can produce reliably, people can edit directly, and multiple backends can render as native Vega-Lite, ECharts, or Chart.js specs. This repo contains two main components: : a JavaScript/TypeScript

ai-agentscharting-librarydata-visualizationmcp-server

Quick Facts

Stars119
Forks6
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score69.7696024679436/100
Open Issues3
Last Updated2026-07-01
Created2026-05-13
Platformsmcp, node
Est. Tokens~16k

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Frequently Asked Questions

What is flint-chart?

flint-chart is 🪄 Flint is a visualization language that lets AI agents reliably create expressive, good-looking charts from simple, human-editable chart specs.. It is categorized as a MCP Server with 119 GitHub stars.

What programming language is flint-chart written in?

flint-chart is primarily written in TypeScript. It covers topics such as ai-agents, charting-library, data-visualization.

How do I install or use flint-chart?

You can find installation instructions and usage details in the flint-chart GitHub repository at github.com/microsoft/flint-chart. The project has 119 stars and 6 forks, indicating an active community.

What license does flint-chart use?

flint-chart is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to flint-chart?

The top alternatives to flint-chart on Agent Skills Hub include ai-trader, LLM-Agents-Ecosystem-Handbook, web-agent-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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