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Metricui logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 10:51:43 PM

Metricui

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository4 GitHub StarsTotal stargazers on GitHub for the source repository (4 stars).Visit Website

React dashboard components β€” API lookup, code generation, and prop validation for AI tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "metricui": {
      "command": "npx",
      "args": [
        "-y",
        "@metricui/mcp-server"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

MetricUI

MetricUI

The missing UI layer for React dashboards.
KPI cards, charts, tables, and layout β€” with built-in formatting, theming, data states, and zero config.

Homepage Β· Docs Β· Analytics Demo Β· SaaS Demo Β· GitHub Demo Β· Wikipedia Live Β· MCP Server Β· Roadmap


MetricUI SaaS Dashboard β€” dark mode

Web Analytics Β· SaaS Metrics Β· GitHub Analytics Β· Wikipedia Live Β· World Explorer β€” all with AI Insights, cross-filtering, drill-downs, and export.


Install

Terminal
npm install metricui

That's it. All chart dependencies are included.

CDN (no bundler needed)

For browser sandboxes, Claude artifacts, v0, Bolt, or anywhere without npm:

server.ts
import { KpiCard, AreaChart, MetricProvider } from "https://cdn.jsdelivr.net/npm/metricui@latest/dist/metricui.browser.mjs";
html
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/metricui@latest/dist/styles.css" />

Why MetricUI?

You're building a dashboard. You need KPI cards, charts, tables. You reach for Recharts + shadcn + custom CSS and spend days wiring up formatting, dark mode, loading states, and responsive layouts.

Stop assembling dashboards from parts.

server.ts
import {
  Dashboard, DashboardHeader, PeriodSelector,
  MetricGrid, KpiCard, AreaChart, DonutChart, DataTable, Callout,
} from "metricui";
import "metricui/styles.css";

export default function App() {
  return (
    <Dashboard theme="emerald" filters={{ defaultPreset: "30d" }}>
      <DashboardHeader title="Revenue" lastUpdated={new Date()} actions={<PeriodSelector comparison />} />

        <MetricGrid>
          <MetricGrid.Section title="Key Metrics" />
          <KpiCard title="Revenue" value={127450} format="currency"
            comparison={{ value: 113500 }} comparisonLabel="vs last month"
            sparkline={{ data: [89, 94, 99, 103, 109, 114, 127], previousPeriod: [78, 82, 85, 88, 91, 95, 98] }}
            conditions={[
              { when: "above", value: 120000, color: "emerald" },
              { when: "below", value: 90000, color: "red" },
            ]}
          />
          <KpiCard title="Users" value={8420} format="compact"
            comparison={[{ value: 7680, label: "vs last month" }, { value: 6200, label: "vs last year" }]}
            highlight
          />
          <KpiCard title="Churn" value={3.2} format="percent"
            comparison={{ value: 3.7, invertTrend: true }}
            goal={{ value: 2.5, showTarget: true, showRemaining: true }}
          />

          <Callout value={12.3} rules={[
            { min: 10, variant: "success", title: "Strong Growth", message: "Revenue grew {value}% this month." },
            { max: 0, variant: "error", title: "Revenue Declined", message: "Revenue dropped {value}%." },
          ]} />

          <MetricGrid.Section title="Trends" border />
          <AreaChart data={revenueData} comparisonData={prevPeriod} format="currency" title="Revenue Trend"
            referenceLines={[{ axis: "y", value: 50000, label: "Target", style: "dashed" }]}
            thresholds={[{ from: 0, to: 30000, color: "#EF4444", opacity: 0.05 }]}
          />
          <DonutChart data={planBreakdown} format="currency" title="By Plan" centerValue="$127K" centerLabel="Total" />

          <MetricGrid.Section title="Details" border />
          <DataTable data={customers} title="Top Customers" columns={columns} searchable pageSize={10} />
        </MetricGrid>
    </Dashboard>
  );
}

Zero layout code. <Dashboard> wraps all providers (theme, filters, cross-filter, drill-down, linked hover) in one component. MetricGrid auto-detects component types β€” KPIs row up, charts pair, tables go full width. DashboardHeader shows live status with auto-ticking "Updated Xm ago". Responsive out of the box.


Features

AI Insights β€” Bring Your Own LLM

Drop <DashboardInsight /> into any dashboard. A floating chat button appears β€” click it, ask questions about your data. The AI auto-collects live data from every component, builds context-rich prompts, and streams analysis. Use @ to reference specific charts. Works with any LLM (OpenAI, Anthropic, local models). Docs β†’

tsx
<Dashboard ai={{ analyze: myLLM, company: "Acme Corp β€” B2B SaaS", context: "Q4 target: $500K" }}>
  <KpiCard title="Revenue" value={142800} aiContext="Primary metric. Enterprise drives 52%." />
  <DashboardInsight />
</Dashboard>

KPI Cards β€” Not Just Numbers

KpiCard with goal progress

Sparkline with previous-period overlay. Goal progress bars. Conditional red/amber/green coloring. Multiple comparison badges. Copyable values. Drill-down links. Docs β†’

Headline Numbers on Any Chart

Every chart and table accepts a headline prop β€” a summary number in the card header that gives you the punchline at a glance.

tsx
<BarChart headline={{ value: 1200000, format: "currency", label: "Total" }} />
<BarChart headline="$1.2M total" />  // string shorthand

Supports formatting, comparison badges with trend arrows, and conditional coloring β€” same features as KpiCard, right in the chart header.

Charts with Reference Lines & Threshold Bands

AreaChart with threshold bands

Mark targets, benchmarks, and danger zones directly on charts. Comparison overlays show period-over-period trends as dashed lines. Works on AreaChart, LineChart, and BarChart.

tsx
<AreaChart
  data={revenueData}
  comparisonData={previousPeriod}
  referenceLines={[{ axis: "y", value: 50000, label: "Target", style: "dashed" }]}
  thresholds={[{ from: 0, to: 30000, color: "#EF4444", opacity: 0.05 }]}
  format="currency"
/>

Data-Driven Alerts

Callout alert with embedded metric

Pass a value and rules β€” Callout auto-selects the right variant, title, and message. Supports embedded formatted metrics, action buttons, collapsible detail, and auto-dismiss.

Expandable Data Tables

DataTable with expanded row showing sparkline, gauge, and status indicators

Click a row and a mini-dashboard slides open β€” sparklines, gauges, status indicators, badges. Plus search, multi-sort, pagination, pinned columns, 12 column types, and row conditions. Docs β†’

Conversion Funnels

Funnel chart with conversion rates

Auto-computed stage-to-stage conversion rates. Vertical or horizontal. Smooth or linear interpolation. Docs β†’

Light & Dark Mode

MetricUI Wikipedia dashboard β€” light mode

Wikipedia live demo in light mode.

CSS variables. Zero config. Every component adapts automatically. Theming guide β†’

Smart Format Engine

One prop formats any value. Currency, percentages, durations, compact notation β€” with locale support. Docs β†’

tsx
<KpiCard value={127450} format="currency" />        // β†’ $127.5K
<KpiCard value={4.2} format="percent" />             // β†’ 4.2%
<KpiCard value={3725} format="duration" />           // β†’ 1h 2m 5s
<KpiCard value={2400000} format="number" />          // β†’ 2.4M

Theme Presets

One prop. Entire dashboard changes color. 8 built-in presets. Custom presets via ThemePreset type. Theming guide β†’

tsx
<Dashboard theme="emerald">   // Green accent + green-first chart palette
<Dashboard theme="rose">      // Pink accent + pink-first chart palette
<Dashboard theme="amber">     // Warm amber everything

MetricGrid β€” Zero Layout Code

Drop components in. It figures out the layout. Docs β†’

tsx
<MetricGrid>
  <MetricGrid.Section title="Overview" />
  <KpiCard ... />  <KpiCard ... />  <KpiCard ... />
  <AreaChart ... />          {/* Auto 2/3 width */}
  <DonutChart ... />         {/* Auto 1/3 width */}
  <DataTable ... />          {/* Auto full width */}
</MetricGrid>

Filter System

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Metricui

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "metricui": { "command": "npx", "args": ["-y", "metricui"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars4
GitHub Star CountTotal stargazers on GitHub representing community popularity (4 stars).
37Quality signal: Fair Β· 37/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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