原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

MCP Dashboards

作者:KyuRish版本 2.4.0i★ –i在你的电脑上运行
注册名称io.github.KyuRish/mcp-dashboards

安装

概览

作者提供的说明(英文原文)

45+ interactive charts, dashboards, flowcharts, and KPIs inside any AI conversation

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 设计、图片与音频

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "dashboards": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-dashboards"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add dashboards -- npx -y mcp-dashboards

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "dashboards": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-dashboards"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "dashboards": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-dashboards"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 KyuRish 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2797 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2797 个服务器的 14% 更新
  • 基础检查结果等于或优于此分类中其他 2797 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

MCP Dashboards 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.4.0)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

作者:GLips广泛使用↓ 16.1万/周★ 1.6万5个月前更新

在你的电脑上运行

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

作者:HUANGCHIHHUNGLeo广泛使用↓ 1106/周★ 22842个月前更新

在你的电脑上运行

Figma MCP Server

The Figma MCP server brings Figma design context directly into your AI workflow.

作者:figma广泛使用★ 215213个月前更新

在云端运行✓ mcp.figma.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

MCP Dashboards

Your AI can talk about data. Now it can show it.

Click any thumbnail to see full size

The problem

We use AI for everything - analysis, reports, strategy. But when it comes to actually *seeing* the story in your data, you're stuck copying numbers into a spreadsheet and building charts yourself. The conversation has the insight. The visualization is somewhere else.

The solution

MCP Dashboards renders interactive charts, dashboards, and KPI widgets directly inside your AI conversation. 32 chart tools covering 45+ chart subtypes (bar has stacked/drilldown, hero has 11 variants, flowchart has 6 node kinds + 5 edge styles, etc.), 21 themes, 4 visual discovery catalogs, live polling, PNG/PPT/A4 export - all from a single MCP server. No browser tabs, no copy-paste, no context switching.

Works in

ClientInteractive in-chat renderingHow
Claude DesktopYes (MCP Apps)stdio config below
claude.ai (web)Yes (MCP Apps)remote connector
ChatGPTYes (MCP Apps)remote server via Developer mode (Settings → Apps → Advanced)
VS Code GitHub CopilotYes (MCP Apps)stdio config
Goose / Postman / MCPJamYes (MCP Apps)stdio or remote
Claude Code (CLI)Tools + browser preview fallbackclaude mcp add below; charts open in a local browser tab

ChatGPT and claude.ai need a remotely hosted endpoint (Streamable HTTP mode below); the desktop clients spawn the server locally.

[!IMPORTANT]

The only official npm package is mcp-dashboards, published from this repository. Similarly named packages are not ours: mcp-dashboards-shared was malware (see OSSF advisory MAL-2026-4296, removed by npm security in May 2026). Install only mcp-dashboards.

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
{

"mcpServers": { "dashboard": { "command": "npx", "args": ["-y", "mcp-dashboards", "--stdio"] } } }

Claude Code / VS Code
claude mcp add dashboard -- npx -y mcp-dashboards --stdio
Remote (Streamable HTTP)
npx mcp-dashboards

Server starts on http://127.0.0.1:3001/mcp

Bound to localhost by default. See Configuration if you need to expose it on your network or allow browser access from a non-localhost origin.

Supported clients

Works in any MCP Apps-compatible client: Claude Desktop, Claude Web, VS Code (GitHub Copilot), Goose, Postman, MCPJam. ChatGPT support is rolling out.

Just ask

No API to learn. Describe what you want in plain English:

  • *"Compare Q1 vs Q2 revenue by region as a bar chart"*
  • *"Show my portfolio allocation as a donut chart with the boardroom theme"*
  • *"Build a dashboard with monthly sales KPIs and a trend line"*
  • *"Visualize website traffic by country on a world map"*
  • *"Track Bitcoin price live, updating every 30 seconds"*
  • *"Show the conversion funnel from signup to purchase"*
  • *"Rank the team by performance using a radar chart"*
  • *"Diagram my multi-agent pipeline as a flowchart and let me step through it"*

The AI picks the right tool, formats your data, and renders the chart inline. Click any data point to ask follow-up questions.

Don't know where to start? Ask *"show me the catalog"* - opens a master dashboard with one live visual tile per customization dimension (a real bar chart for charts, a pie for themes, a progress ring for hero variants, a neon-glowing card for effects). Click any tile, hit Ask, and you'll drill into that sub-catalog.

Interactive charts, not images

Every chart is interactive HTML rendered directly in your conversation:

  • Explore in-chat - hover tooltips, click-to-select (feeds back to the AI), drill-down with breadcrumbs, scroll-zoom up to 12x on maps and heatmaps
  • Editable flowcharts - drag nodes, multi-select, rename via right-click, minimap + node list to navigate, step-through playback of the flow, then sync your layout back to the AI to save it
  • Live polling - real-time charts that auto-update from any API on a timer
  • Export anywhere - PPT (16:9 slides), A4 (paginated with smart page breaks), PNG, CSV

All Tools

ToolTypeBest For
render_pie_chartPie/DonutComposition - "what makes up the whole?"
render_bar_chartBarComparison - vertical, horizontal, stacked, drill-down
render_line_chartLine/AreaTrends - smooth curves, gradient fills, time series
render_scatter_chartScatterRelationships - per-point labels, annotations, quadrants
render_candlestick_chartCandlestickFinance - OHLC data with volume bars
render_radar_chartRadarMulti-axis comparison - skills, scores, product attributes
render_treemap_chartTreemapHierarchy - nested rectangles sized by value
render_sankey_chartSankeyFlow - money, users, or resources between stages
render_wordcloud_chartWord CloudFrequency - sized words from text analysis
render_boxplot_chartBoxplot/ViolinDistribution - quartiles, outliers, density shapes
render_live_chartLiveReal-time - auto-polls any MCP tool on a timer
poll_httpData proxyFetch JSON from any HTTP endpoint - secure presets or public URLs
render_bullet_chartBulletKPI vs target - 2-8 zone bands with labels
render_lollipop_chartLollipopRanking - clean dots with optional target markers
render_dumbbell_chartDumbbellGaps - before/after with scale labels and zone bands
render_variance_chartVarianceBudget - actual vs budget, color-coded over/under
render_funnel_chartFunnelConversion - staged drop-off with percentages
render_slope_chartSlopeChange - ranking shifts between two periods
render_waffle_chartWaffleProportion - 10x10 grid showing composition
render_sparkline_chartSparklineCompact trends - mini cards with change indicators
render_radial_clusterRadialHealth check - multi-metric ring gauges with status
render_waterfall_chartWaterfallCumulative - cascading bars showing impact
render_heatmap_chartHeatmapIntensity - 2D grid with color mapping
render_geo_chartGeo/MapGeography - color-coded countries by value (choropleth)
render_bubble_mapBubble MapPin map - sized circles at lat/lng coordinates
render_timeline_chartTimelineProgress - milestone tracker with status indicators
render_flowchartFlowchartWorkflows, pipelines, architectures, agent flows - rich card-based DAG with status states, drag, zoom, live polling
render_hero_metricHeroKPI widgets - 11 variants (progress ring, gem, orb, NPS, etc.)
render_dashboardDashboardEverything - KPI cards + multiple charts in responsive grid
render_tableTableData - sortable columns, striped rows, CSV export
render_from_jsonAuto-detectAny JSON data - picks the best chart automatically
render_from_urlURL fetchFetches JSON from a URL and auto-visualizes

Discovery / Catalogs - visual entry points for browsing what's available:

ToolShowsWhen to use
render_catalogMaster catalog with 4 live preview tilesDon't know where to start. Click any tile, hit Ask, drill in.
render_chart_catalogAll 32 chart types with mini previewsLooking for the right chart for your data
render_theme_catalogAll 21 themes with color/typography/effectsPicking a theme
render_hero_catalogAll 11 hero metric variantsPicking a KPI widget style
render_effects_catalogAll 5 effect presets, each applied to a real cardPicking an animation/glow style

Typography is still configurable on every chart via typography= (8 options listed under Themes) - it just doesn't have its own catalog because all 8 options were visually identical without per-card font loading, which wasn't worth the build for one preview tool.

Which chart should I use?

QuestionBest ChartAlso Works
"What makes up the whole?"Pie/WaffleTreemap, Stacked bar
"How do values compare?"BarLollipop, Bullet, Radar
"What's the trend over time?"LineSparkline, Slope
"Are we hitting targets?"BulletVariance, Radial
"Where's the gap?"DumbbellVariance
"How does X relate to Y?"ScatterHeatmap
"What's the conversion rate?"FunnelWaterfall, Sankey
"What changed between periods?"SlopeDumbbell
"What's the financial picture?"CandlestickLine
"Show me the KPI"Hero metricDashboard
"What's the distribution?"BoxplotViolin (same tool)
"Where does money/traffic flow?"SankeyTreemap
"How do options score across axes?"RadarHeatmap
"What are the top keywords?"Word CloudBar, Treemap
"Where are users/sales/revenue?"Geo mapBubble map, Heatmap
"Monitor this in real-time"Live chart-

Themes

21 built-in themes. Pass theme to any tool.

FamilyThemes
Classicboardroom, corporate, sales-floor, golden-treasury, clinical, startup, ops-control, tokyo-midnight, zen-garden, consultant
Black/AIblack-tron (cyan neon), black-elegance (warm gold), black-matrix (green hacker)
Forestforest-amber (autumn), forest-earth (terracotta)
Skysky-light (airy blue), sky-ocean (deep navy), sky-twilight (sunset)
Officeoffice-red (corporate red, white bg - report-ready)
Gray/MLgray-hf (warm yellow accent), gray-copilot (teal on dark)

Mix-and-match with palette, typography (8 options: system, mono, professional, editorial, bold, techno, cyberpunk, luxury), and effects (5 presets: none, subtle, shimmer, neon, energetic).

Live Polling

Real-time charts that auto-update from any API. The live chart polls data via poll_http, which supports two modes:

Secure presets (authenticated APIs)

只显示了开头部分;其余内容请在仓库中阅读

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