MCP Dashboards

Name: MCP Dashboards
Author: KyuRish

by KyuRishversion 2.4.0i★ –iRuns on your computer

Registry nameio.github.KyuRish/mcp-dashboards

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 144/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account KyuRish, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2792 servers in this category
Published to the registry more recently than 14% of the other 2792 servers in this category
Basic checks equal to or better than 100% of the other 2792 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Dashboards safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.4.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

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

by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

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Claude Real Video

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

by HUANGCHIHHUNGLeoWidely used↓ 1.1K/wk★ 2.3KUpdated 2 months ago

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Figma MCP Server

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Client	Interactive in-chat rendering	How
Claude Desktop	Yes (MCP Apps)	stdio config below
claude.ai (web)	Yes (MCP Apps)	remote connector
ChatGPT	Yes (MCP Apps)	remote server via Developer mode (Settings → Apps → Advanced)
VS Code GitHub Copilot	Yes (MCP Apps)	stdio config
Goose / Postman / MCPJam	Yes (MCP Apps)	stdio or remote
Claude Code (CLI)	Tools + browser preview fallback	`claude 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

Tool	Type	Best For
`render_pie_chart`	Pie/Donut	Composition - "what makes up the whole?"
`render_bar_chart`	Bar	Comparison - vertical, horizontal, stacked, drill-down
`render_line_chart`	Line/Area	Trends - smooth curves, gradient fills, time series
`render_scatter_chart`	Scatter	Relationships - per-point labels, annotations, quadrants
`render_candlestick_chart`	Candlestick	Finance - OHLC data with volume bars
`render_radar_chart`	Radar	Multi-axis comparison - skills, scores, product attributes
`render_treemap_chart`	Treemap	Hierarchy - nested rectangles sized by value
`render_sankey_chart`	Sankey	Flow - money, users, or resources between stages
`render_wordcloud_chart`	Word Cloud	Frequency - sized words from text analysis
`render_boxplot_chart`	Boxplot/Violin	Distribution - quartiles, outliers, density shapes
`render_live_chart`	Live	Real-time - auto-polls any MCP tool on a timer
`poll_http`	Data proxy	Fetch JSON from any HTTP endpoint - secure presets or public URLs
`render_bullet_chart`	Bullet	KPI vs target - 2-8 zone bands with labels
`render_lollipop_chart`	Lollipop	Ranking - clean dots with optional target markers
`render_dumbbell_chart`	Dumbbell	Gaps - before/after with scale labels and zone bands
`render_variance_chart`	Variance	Budget - actual vs budget, color-coded over/under
`render_funnel_chart`	Funnel	Conversion - staged drop-off with percentages
`render_slope_chart`	Slope	Change - ranking shifts between two periods
`render_waffle_chart`	Waffle	Proportion - 10x10 grid showing composition
`render_sparkline_chart`	Sparkline	Compact trends - mini cards with change indicators
`render_radial_cluster`	Radial	Health check - multi-metric ring gauges with status
`render_waterfall_chart`	Waterfall	Cumulative - cascading bars showing impact
`render_heatmap_chart`	Heatmap	Intensity - 2D grid with color mapping
`render_geo_chart`	Geo/Map	Geography - color-coded countries by value (choropleth)
`render_bubble_map`	Bubble Map	Pin map - sized circles at lat/lng coordinates
`render_timeline_chart`	Timeline	Progress - milestone tracker with status indicators
`render_flowchart`	Flowchart	Workflows, pipelines, architectures, agent flows - rich card-based DAG with status states, drag, zoom, live polling
`render_hero_metric`	Hero	KPI widgets - 11 variants (progress ring, gem, orb, NPS, etc.)
`render_dashboard`	Dashboard	Everything - KPI cards + multiple charts in responsive grid
`render_table`	Table	Data - sortable columns, striped rows, CSV export
`render_from_json`	Auto-detect	Any JSON data - picks the best chart automatically
`render_from_url`	URL fetch	Fetches JSON from a URL and auto-visualizes

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

Tool	Shows	When to use
`render_catalog`	Master catalog with 4 live preview tiles	Don't know where to start. Click any tile, hit Ask, drill in.
`render_chart_catalog`	All 32 chart types with mini previews	Looking for the right chart for your data
`render_theme_catalog`	All 21 themes with color/typography/effects	Picking a theme
`render_hero_catalog`	All 11 hero metric variants	Picking a KPI widget style
`render_effects_catalog`	All 5 effect presets, each applied to a real card	Picking 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?

Question	Best Chart	Also Works
"What makes up the whole?"	Pie/Waffle	Treemap, Stacked bar
"How do values compare?"	Bar	Lollipop, Bullet, Radar
"What's the trend over time?"	Line	Sparkline, Slope
"Are we hitting targets?"	Bullet	Variance, Radial
"Where's the gap?"	Dumbbell	Variance
"How does X relate to Y?"	Scatter	Heatmap
"What's the conversion rate?"	Funnel	Waterfall, Sankey
"What changed between periods?"	Slope	Dumbbell
"What's the financial picture?"	Candlestick	Line
"Show me the KPI"	Hero metric	Dashboard
"What's the distribution?"	Boxplot	Violin (same tool)
"Where does money/traffic flow?"	Sankey	Treemap
"How do options score across axes?"	Radar	Heatmap
"What are the top keywords?"	Word Cloud	Bar, Treemap
"Where are users/sales/revenue?"	Geo map	Bubble map, Heatmap
"Monitor this in real-time"	Live chart	-

Themes

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

Family	Themes
Classic	`boardroom`, `corporate`, `sales-floor`, `golden-treasury`, `clinical`, `startup`, `ops-control`, `tokyo-midnight`, `zen-garden`, `consultant`
Black/AI	`black-tron` (cyan neon), `black-elegance` (warm gold), `black-matrix` (green hacker)
Forest	`forest-amber` (autumn), `forest-earth` (terracotta)
Sky	`sky-light` (airy blue), `sky-ocean` (deep navy), `sky-twilight` (sunset)
Office	`office-red` (corporate red, white bg - report-ready)
Gray/ML	`gray-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)

Only the beginning is shown; read the rest in the repo

MCP Dashboards

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

MCP Dashboards

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

The problem

The solution

Works in

Quick Start

Claude Desktop

Claude Code / VS Code

Remote (Streamable HTTP)

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

Supported clients

Just ask

Interactive charts, not images

Themes

Live Polling

Secure presets (authenticated APIs)