# ganapativs/microcharts [Health: Active]

**Category:** 📊 Data Visualization  
**Repository:** https://github.com/ganapativs/microcharts/tree/main/packages/mcp  
**GitHub Stars:** 134  
**Views:** 1  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/ganapativs-microcharts

## Description
Word-sized charts (sparklines, bars, bullets — 106 types) rendered to self-contained SVG with generated alt text. Three tools: find the right chart for a question, get its wiring, render it. Works in chat surfaces that can't run React. Install via npx -y @microcharts/mcp.

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "microcharts": {
    "command": "npx",
    "args": ["-y","@microcharts/mcp"]
  }
}
```

## Documentation & README

<div align="center">

<img src="assets/promo.png" alt="microcharts — word-sized charts for React, made for AI first and for the people reading what it writes. 106 chart types, zero dependencies, ~2–7 kB interactive · ~1–4 kB static." width="920">

# @microcharts/react

**Word-sized charts for React** — zero runtime dependencies, ~2–7&nbsp;kB interactive · ~1–4&nbsp;kB static, accessible
by default, and server-component safe.

<br>

[![npm](https://img.shields.io/npm/v/@microcharts/react?color=2f52d4&label=npm)](https://www.npmjs.com/package/@microcharts/react)
[![gzip per chart](https://img.shields.io/badge/per_chart-~2–7_live_·_~1–4_static_kB-2f52d4)](https://microcharts.dev/docs/performance)
[![zero dependencies](https://img.shields.io/badge/dependencies-0-077353)](https://microcharts.dev)
[![types](https://img.shields.io/npm/types/@microcharts/react?color=2f52d4)](https://microcharts.dev)
[![React 18 · 19](https://img.shields.io/badge/React-18_·_19-077353)](https://microcharts.dev/docs/quickstart)
[![MIT](https://img.shields.io/npm/l/@microcharts/react?color=666)](./LICENSE)
[![Reviewed with Argos](https://argos-ci.com/badge.svg)](https://argos-ci.com?utm_source=ganapativs/microcharts&utm_campaign=oss)

**[Docs](https://microcharts.dev)** · **[Gallery](https://microcharts.dev/docs/charts)** ·
**[Quickstart](https://microcharts.dev/docs/quickstart)** · **[AI usage](https://microcharts.dev/docs/ai)** ·
**[llms.txt](https://microcharts.dev/llms.txt)**

</div>

---

microcharts is **106 tiny, handcrafted chart types** built to sit _inside_ an interface: a sentence, a table cell, a KPI
card, a tab header, a streamed AI reply. The grammar is small enough for a model to emit correctly mid-sentence, and
every chart describes itself in words, so a chart an LLM streams into a chat reply is one a person can read and check.

> **Status:** tested and in production use, but not across every stack and edge yet. If you hit something, open an issue
> on [GitHub](https://github.com/ganapativs/microcharts/issues).

## Why

- **AI-native.** A chart is plain `data` plus a generated sentence. One grammar across all 106 types — a model that has
  seen one chart can write them all. → [AI usage](https://microcharts.dev/docs/ai)
- **Zero dependencies.** No chart engine, no D3 — just SVG. React is the only peer. CI-enforced, forever.
- **Server-component safe.** Static charts are hook-free and render to HTML with **zero client JavaScript**.
  Interactivity is a separate opt-in `/interactive` import.
- **Accessible by default.** Every chart is an `img` with a natural-language summary built from your data; it updates
  when the numbers do. → [Accessibility](https://microcharts.dev/docs/accessibility)
- **Tiny.** **~2–7 kB interactive · ~1–4 kB static** gzip per chart, budget-gated in CI. Every type has one documented,
  honest encoding channel and a stated precision.
- **Motion, opt-in.** Interactive charts draw on with `animate` plus one `import "@microcharts/react/motion"`, and glide
  continuous marks when data updates. Entrances respect `prefers-reduced-motion` and never replay over server-rendered
  HTML. → [Motion](https://microcharts.dev/docs/motion)

## Install

```bash
npm install @microcharts/react
```

Import the stylesheet **once** at the root of your app — it carries every theming token and chart style in a
low-specificity cascade layer, so your own styles always win:

```tsx
// app/layout.tsx
import "@microcharts/react/styles.css";
```

## Your first chart

Every chart renders from `data` alone. This works in a **React Server Component** with zero client JavaScript — pure
SVG, and its accessible name is generated from the data.

```tsx
import { Sparkline } from "@microcharts/react/sparkline";

<Sparkline data={[3, 5, 4, 8, 6, 9]} title="Weekly revenue" />;
```

Each chart imports from its **own subpath**, so you only ship what you use. Every chart follows the same two-entry
pattern: a static default, and an `/interactive` twin.

## Add interactivity

Need hover, keyboard navigation, touch, or live announcements? Import the same chart from `/interactive`. The rendered
output and the accessible name are identical, because the interactive entry composes its static twin. It only **adds**
props; you opt into the client component where it matters.

```tsx
import { Sparkline } from "@microcharts/react/sparkline/interactive";

<Sparkline data={[3, 5, 4, 8, 6, 9]} title="Weekly revenue" />;
```

Every interactive chart shares one contract, so you learn it once. Hover or arrow keys make a unit **active**; a click,
tap, <kbd>Enter</kbd>, or <kbd>Space</kbd> **selects** it and pins the readout so it survives blur; <kbd>Escape</kbd> or
a press outside the chart clears; <kbd>Home</kbd>/<kbd>End</kbd> jump to the ends. Read it back with `onActive` and
`onSelect` — payload `{ index, value, label?, formatted? }`, where `value` is the raw number and `formatted` is the
chart's ready-to-display string — and control the pin with `selectedIndex` / `defaultSelectedIndex`. Set
`readout={false}` to hide the in-chart value chip and render `datum.formatted` wherever you like. Single-unit scalar
charts (Delta, Progress, StatusDot, Bullet, …) take `onSelect` alone.

```tsx
<Sparkline data={[3, 5, 4, 8, 6, 9]} onActive={(d) => setHovered(d?.value ?? null)} onSelect={(d) => pin(d)} />
```

## Annotate with children

Thresholds, markers, and target zones are **children** — the same grammar on every chart that supports them:

```tsx
import { Sparkline } from "@microcharts/react/sparkline";
import { Threshold, Marker } from "@microcharts/react/annotations";

<Sparkline data={[120, 180, 240, 210, 260]} title="Latency p95">
  <Threshold y={200} label="SLO" />
  <Marker x={2} celebrate />
</Sparkline>;
```

## Theme it

About two dozen `--mc-*` CSS custom properties are the runtime contract; presets are token bundles. Set one on a subtree
with the provider — presets are visual only and never change what the data means:

```tsx
import { MicroProvider } from "@microcharts/react";

<MicroProvider theme="editorial">
  <Sparkline data={[3, 5, 4, 8, 6, 9]} />
</MicroProvider>;
```

Presets: `modern` (default), `editorial`, `mono`, `vivid`, plus output-context `print` and `eink`. Dark mode is
hand-tuned, not inverted. For a whole brand theme, `defineTheme` (from `@microcharts/react/theme`) derives a matched,
color-blind-safe palette and dark twins from one accent:

```tsx
import { defineTheme } from "@microcharts/react/theme";

const brand = defineTheme({ accent: "#6d28d9" });
<MicroProvider style={brand.style}>…</MicroProvider>;
```

Retune density with one scalar (`--mc-density`), give figures their own face (`--mc-font-numeric`), or recolor a single
categorical chart with a `colors` array. → [Theming guide](https://microcharts.dev/docs/theming)

## The catalog

**106 stable chart types** — 34 core, 26 decision, 23 expressive, 23 frontier — grouped by the _question_ each one
answers. `data` alone always renders something correct, and a prop name means the same thing on every chart (`domain`,
`color`, `title`, `summary`, `label`, `format`…), so picking a chart is picking the question you need answered.

Sparklines, bars, deltas, and bullets through bump charts, funnels, honeycombs, calendar strips, and confidence bands —
**[browse them all in the live gallery →](https://microcharts.dev/docs/charts)**

> **Not shipping, on purpose:** pie, needle-gauge/speedometer, battery, waffle, violin. Each fails at micro scale or on
> the honest-encoding bar, and each has an in-catalog replacement (Bullet for gauges, SegmentedBar for pie, MicroBox for
> violin). → [what to use instead](https://microcharts.dev/llms.txt)

## Made for models

A model writes the chart; a person reads it. The docs site publishes machine surfaces alongside the human ones:

| Surface                                                   | What it is                                          |
| --------------------------------------------------------- | --------------------------------------------------- |
| [`/llms.txt`](https://microcharts.dev/llms.txt)           | Curated map of the catalog and guides               |
| [`/llms-full.txt`](https://microcharts.dev/llms-full.txt) | The complete generated docs corpus                  |
| [`/catalog.json`](https://microcharts.dev/catalog.json)   | Every chart's name, import path, props, data shapes |

## The MCP server

The surfaces above are for reading. [`@microcharts/mcp`](https://www.npmjs.com/package/@microcharts/mcp) lets an
assistant call the library directly: a Model Context Protocol server that runs on your machine over stdio, with three
tools backed by this library — **find** the chart type that answers a question, **get** its exact props and a
ready-to-render sample, and **render** it to a self-contained SVG with the generated alt text attached.

```json
{
  "mcpServers": {
    "microcharts": {
      "command": "npx",
      "args": ["-y", "@microcharts/mcp"]
    }
  }
}
```

Works in Claude Desktop, Claude Code, Cursor, and VS Code; nothing is hosted and no key is involved. The same three
capabilities ship as Vercel AI SDK tools on the `@microcharts/mcp/ai-sdk` subpath. Full reference:
[microcharts.dev/docs/mcp](https://microcharts.dev/docs/mcp). Also listed in the
[Glama MCP registry](https://glama.ai/mcp/servers/ganapativs/microcharts).

## Compatibility

React **18 and 19**. ESM-only, per-component subpath exports, types-first export conditions. Static charts render in any
RSC or SSR setup with no client runtime.

`sideEffects` is a two-entry allowlist, never `false`: `styles.css` and the opt-in `./motion` engine are both imported
for their side effects, and `false` would let a bundler drop them. Every other module is side-effect free and
tree-shakes normally, and since charts ship as per-component subpaths, you only pay for the ones you import.

## Contributing

```bash
pnpm install
pnpm check     # typecheck + lint + format + test + knip
pnpm size      # gzip budgets (needs a build first)
pnpm build
```

Bug fixes and fixes to existing charts are the most useful thing to send. New props and new chart types are open but
held to a high bar — the catalog is already broad at 106 types, so a new one needs a question the others can't answer.
Either way, open an issue and wait for a yes before you open a PR. [CONTRIBUTING.md](./CONTRIBUTING.md) has the policy,
the CI gates, and what a good bug report contains.

## License

[MIT](./LICENSE) © [Ganapati V S](https://meetguns.com)

