No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by microsoft · MCP Server · ★ 3.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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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
| Stars | 3,876 |
| Forks | 213 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.7696024679436/100 |
| Open Issues | 22 |
| Last Updated | 2026-08-19 |
| Created | 2026-05-13 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
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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 3.9k GitHub stars.
flint-chart is primarily written in TypeScript. It covers topics such as ai-agents, charting-library, data-visualization.
You can find installation instructions and usage details in the flint-chart GitHub repository at github.com/microsoft/flint-chart. The project has 3.9k stars and 213 forks, indicating an active community.
flint-chart is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to flint-chart on Agent Skills Hub include trigger.dev, hexstrike-ai, klavis. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.