Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words
Beginner mode On
ColoursSystemLightDark
LanguageไทยEnglish中文日本語한국어EspañolDeutsch
☰ MenuSettings
Beginner mode On
ColoursSystemLightDark
LanguageไทยEnglish中文日本語한국어EspañolDeutsch

Ranuk DataCanvas BI

by RanuK12version 1.0.0i★ –iRuns in the cloud
Registry nameio.github.RanuK12/datacanvas

Install

Overview

Description from the maker (original English)

Interactive data visualization and executive PDF dashboards for ChatGPT, Claude, and Cursor.

PopNx MCP’s three pillars

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

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Docs, sheets & office work

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://datacanvas.ranuk.dev/mcp

Run this in your terminal

claude mcp add --transport http datacanvas https://datacanvas.ranuk.dev/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "datacanvas": {
      "url": "https://datacanvas.ranuk.dev/mcp"
    }
  }
}

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": {
    "datacanvas": {
      "type": "http",
      "url": "https://datacanvas.ranuk.dev/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://datacanvas.ranuk.dev/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account RanuK12, 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2187 servers in this category
  • Published to the registry more recently than 71% of the other 2187 servers in this category
  • Basic checks equal to or better than 100% of the other 2187 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 Ranuk DataCanvas BI 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 13 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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

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

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago
Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 3 days ago
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.

DataCanvas — ChatGPT Plugin Extension (MCP)

Desarrollado y operado por Ranuk IT Solutions (Emilio Ranucoli)

Transforma cualquier conjunto de datos (CSV, TSV, JSON, Excel) en un tablero analítico interactivo en tiempo real directamente en la interfaz de ChatGPT (thread_panel lateral y global sidebar), con exportación ejecutiva de PDFs vectoriales de alta fidelidad (>400KB) y funnel externo a monetización SaaS.

🎯 Resumen Ejecutivo

DataCanvas resuelve la principal limitación del análisis de datos en ChatGPT: la estaticidad. Cuando un usuario proporciona datos tabulares, en lugar de recibir una tabla de texto plano o una imagen estática generada con Matplotlib, DataCanvas despliega un Conversation Panel interactivo con filtros en vivo, selector dinámico de tipos de gráficos y tarjetas KPI reactivas.

Por qué este modelo genera negocio:
  • Costo de Adquisición (CAC) = $0: Tráfico orgánico impulsado por el directorio global de OpenAI (~1.2B WAU) y triggers contextuales de conversación.
  • Costo de Cómputo Cliente = $0: Las agregaciones analíticas corren en el navegador del usuario vía DuckDB-WASM y Apache ECharts.
  • Monetización 100% Externa: Cumple de forma estricta las normativas de OpenAI. Cero cobros digitales dentro del plugin; todo upgrade a planes Pro ($19/mes o $190/año) se realiza vía Stripe Hosted Checkout en un dominio controlado por Ranuk IT Solutions, sin comisiones ni revenue-share.

🏗️ Arquitectura del Sistema

sequenceDiagram

autonumber actor User as Usuario en ChatGPT participant GPT as ChatGPT (LLM) participant MCP as Servidor MCP (FastAPI :7800) participant UI as Panel UI (Iframe Sandboxed) participant Engine as Ranuk Report Engine participant Stripe as Stripe Checkout (Externo)

User->>GPT: "Armame un dashboard interactivo de este CSV" GPT->>MCP: Call tool: datacanvas_render_dashboard(title, raw_data) MCP-->>GPT: Return metadata OpenAIUiToolMetadata (ui://datacanvas/dashboard) GPT->>UI: Despliega Iframe en el panel lateral vía postMessage User->>UI: Filtra datos, alterna gráficos y examina KPIs UI->>UI: Agregación client-side sin costo de cómputo para el backend User->>UI: Click en "Exportar Reporte Ejecutivo PDF" alt Usuario Gratuito UI->>Engine: Genera reporte con watermark Ranuk Engine-->>UI: Descarga PDF oficial (>400KB) + Modal Upgrade else Click en "Desbloquear Pro / White-Label" UI->>User: window.open("https://datacanvas.ranuk.dev/checkout") User->>Stripe: Pago de suscripción ($19/mo) Stripe->>MCP: Webhook asienta cobro en income_ledger.json end

📦 Estructura del Repositorio

rk-mcp-datacanvas/

├── manifest.json # Especificación oficial de OpenAI Plugin Extension ├── README.md # Manual de arquitectura, despliegue y operaciones ├── server/ │ ├── main.py # Servidor FastAPI (Protocolo MCP JSON-RPC + UI Server) │ ├── tools.py # Definición analítica y schemas OpenAIUiToolMetadata │ └── report_bridge.py # Conexión al motor ranukita_report.py ├── ui/ │ └── index.html # Frontend interactivo para el iframe (Tailwind + ECharts) ├── scripts/ │ ├── rk-mcp-pack.py # Validador y empaquetador para Apps Management (.zip) │ └── rk-mcp-growth.py # Cron diario de health check, leads B2B y sync con ledger ├── tests/ │ └── test_mcp_server.py # Suite de tests (MCP handshake, tools y reportes) ├── submission/ │ ├── video_script.md # Guion de 75 segundos para el revisor de OpenAI │ └── test_cases.json # Casos de prueba reproducibles para el submission └── dist/ └── rk-mcp-datacanvas.zip # Paquete validado y listo para envío

💎 Modelo de Oferta: Free vs. Pro

CaracterísticaDataCanvas Free (In-Plugin)DataCanvas Pro ($19/mes o $190/año)
Visualización interactiva en ChatGPTIlimitadaIlimitada
Gráficos dinámicos (Barras, Líneas, Donut)SíSí + Mapas de Calor y Funnels
Filtros en tiempo real vía DuckDB-WASMSíSí
Exportación de Reportes PDF3 reportes/mes (con marca de agua)Ilimitados, White-Label y >400KB
Persistencia de plantillas en Sidebar1 plantillaIlimitadas
Conexión con PostgreSQL / BigQueryNoSí
Licencia On-Premise para empresasNoDisponible ($490 un solo pago)

🤖 Manual de Operaciones: Distribución de Tareas

Para garantizar que el sistema funcione de forma autónoma y minimice la carga manual, los roles están distribuidos entre el equipo de agentes de Ranukita y Emilio:

👤 Tareas de Emilio (Única vez — ~5 minutos):
  1. Subir paquete en OpenAI: Ingresar a OpenAI Developer Dashboard / Apps Management, crear nueva aplicación y subir el archivo dist/rk-mcp-datacanvas.zip.
  2. Video de Submission: Grabar un walkthrough de 75 segundos siguiendo el guion submission/video_script.md.
  3. Dominio Público: Asignar el túnel DNS datacanvas.ranuk.dev hacia el servidor local (ej. Cloudflare Tunnel hacia el puerto 7800).
🤖 Tareas de los Agentes de Ranukita (Automáticas 24/7):
  • Director Comercial: Revisa semanalmente la tasa de conversión a checkout y valida las metas de ingresos en el ledger.
  • Vendedor: Monitorea los correos empresariales registrados en descargas de reportes para enviar propuestas de licencia Enterprise ($490 a $1,500).
  • Dev-Bounties / NEXUS: Mantiene el servidor MCP activo, atiende issues de formato de datos y corre los tests de regresión.
  • Cron Diario (`rk-mcp-growth.py`):
  • Corre a las 10:00 AM todos los días.
  • Verifica el uptime del servidor.
  • Registra las transacciones externas de Stripe directamente en ~/.ranukita/income_ledger.json.
  • Emite el reporte de crecimiento en ~/.ranukita/buzon/.

🚀 Guía de Inicio Rápido

1. Ejecutar Tests de Verificación
python3 -m unittest tests/test_mcp_server.py
2. Iniciar Servidor MCP Localmente
python3 server/main.py

El servidor iniciará en http://127.0.0.1:7800

3. Exponer con Túnel Cloudflare (para pruebas con OpenAI)
cloudflared tunnel --url http://127.0.0.1:7800
4. Regenerar el Paquete de Envío
python3 scripts/rk-mcp-pack.py
5. Ejecutar Cron de Crecimiento Manualmente
python3 scripts/rk-mcp-growth.py
Ask PopNx