Chat with your EADBOX data

AI to analyze EADBOX data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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EADBOX
You
How many students logged into EADBOX courses this week?
Weekly Activity
1,247 active students accessed your EADBOX platform this week, representing a 23% increase in engagement compared to last week's activity.
Via Kondado MCP
You
What is the completion rate for paid courses this month?
Course Performance
Your paid courses show a 68.3% completion rate this month, with professional certification tracks performing 12% above your baseline average.
Via Kondado MCP
You
Which EADBOX course had the most login sessions yesterday?
Top Content
The "Advanced Leadership Skills" course recorded 342 distinct sessions yesterday, making it the most accessed content in your catalog.
Via Kondado MCP
You
How many new users registered from the campaign region?
User Growth
The targeted marketing region generated 89 new user signups this week, with 74% activating their accounts within the first 24 hours.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to Analyze EADBOX Data with Claude and ChatGPT

Connect your EADBOX learning platform to Claude, ChatGPT, or any MCP client and start asking questions in plain English about your training data. Query course enrollment trends, compare student engagement across different departments, or check login patterns to identify your most active learners. The AI reads your replicated EADBOX data and returns instant answers about sales performance, completion rates, and user activity without you writing a single line of code.

Kondado replicates data from EADBOX into a structured format accessible via MCP server, enabling direct analysis through Claude, ChatGPT, and other compatible clients across three core pipelines: Users, Logins, and Courses. This same replicated data also powers ready reports in Power BI and Looker Studio for visual monitoring.

Training managers and e-learning directors use this to ask specific questions like which courses drive the highest completion rates or how login frequency correlates with student retention. Customer education teams analyze geographic distribution of active users against course catalogs to optimize content offerings. Finance teams query paid course revenue and enrollment conversion metrics directly in chat to support strategic planning decisions.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your EADBOX data by Kondado in minutes.

View EADBOX dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your EADBOX data in natural language.

View MCP setup →

The EADBOX data source below exposes three essential pipelines that unlock comprehensive learning analytics when queried through AI chat. The Users pipeline reveals detailed student demographics, professional backgrounds, and account activation status, while the Logins pipeline tracks session activity, access timestamps, and IP locations to monitor engagement patterns across your organization. The Courses pipeline contains your complete catalog structure including pricing status, workload hours, and target audience segmentation for every educational offering available on your platform. Analyzing these pipelines together lets you identify inactive enrolled students by comparing user lists against recent login activity, or measure course popularity by cross-referencing catalog metadata with session volume trends to optimize your content strategy. Data replicates on a configurable schedule, ensuring your questions about current enrollment numbers, completion rates, and yesterday’s peak login hours always receive accurate, timely answers backed by the latest information from your learning environment.

How to connect EADBOX to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

EADBOX tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

3
Tables
97
Fields
∞
Ad-hoc questions
Users
Table contains information about users, including user_id, email, name, and active status, as well as data like profession and location.
Logins
Table records user logins, including session_id, login timestamp, and user IP, allowing tracking of access activity.
Courses
Table presents details of courses, such as course_id, title, description, and whether it is paid, along with information on target audience and workload.
Full docs on the wiki → Connect EADBOX now →

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect EADBOX and select Via Kondado destination

Connect your EADBOX account at app.kondado.com.br and choose the Via Kondado destination to replicate your learning data. This makes your Users, Logins, and Courses pipelines available for AI analysis and ready dashboard templates.

2
Add Kondado MCP server in Claude or ChatGPT

Open the connection settings in Claude Web or Desktop, or in ChatGPT, and add the Kondado MCP server URL, then authorize via OAuth. The GUI setup requires no code and works identically across both clients.

3
Ask natural language questions or open ready dashboards

Start chatting with questions like "Which courses had the most logins yesterday?" or "Compare completion rates between departments." For recurring visual monitoring, open the ready Power BI or Looker Studio report templates instead.

Other connectors with AI via MCP

Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

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RDStation CRM RDStation CRM
Salesforce Salesforce

Marketing and Automation

Google Ads Google Ads
E-goi E-goi
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Mautic Mautic
Pushwoosh Pushwoosh
RDStation RDStation
Salesforce Marketing Cloud (Exact Target) Salesforce Marketing Cloud (Exact Target)
SenseData SenseData
Taboola Taboola
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Advertising and Media

Apple App Store Apple App Store
Bing Bing
Criteo Criteo
Facebook Facebook
Facebook Ads Facebook Ads
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Instagram Ads Instagram Ads
Meta Ads Meta Ads
Microsoft Ads Microsoft Ads
Microsoft Advertising Microsoft Advertising
Pinterest Ads Pinterest Ads
TikTok Ads TikTok Ads
X Ads X Ads
YouTube YouTube

E-commerce and Marketplaces

Bling! Bling!
Hotmart Hotmart
Loja Integrada Loja Integrada
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VNDA VNDA
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Financial and Payments

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Support and Customer Service

55pbx 55pbx
api4com api4com
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Databases

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InfluxDB v1 InfluxDB v1
MongoDB MongoDB
MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer
Webhook Webhook

Productivity and Collaboration

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Google Sheets Google Sheets
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monday.com monday.com
Notion Notion
Pipefy Pipefy
Tangerino Tangerino
Toggl Toggl
Trello Trello

Social Media

Instagram Instagram
TikTok Organic TikTok Organic

User Analytics

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Mixpanel Mixpanel
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Storage and Transfer

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FTP FTP
Google Cloud Storage Google Cloud Storage
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Related on Kondado

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What specific business questions can I ask Claude about my EADBOX training data? ▼
You can ask about course completion rates by department, compare login frequency between paid and free users, identify your most active learning periods during the week, or query revenue metrics from paid course enrollments. The AI analyzes your replicated Users, Logins, and Courses pipelines to answer questions about student engagement patterns and catalog performance using natural language.
How do I configure ChatGPT to access my EADBOX data through Kondado? ▼
Open the connection settings in ChatGPT and add the Kondado MCP server URL, then authorize access via OAuth at app.kondado.com.br using your existing Kondado credentials. The GUI-based setup requires no code or command line tools, and the same process works for Claude Web and Desktop clients.
Can the AI write data back to EADBOX or execute actions on the platform? ▼
No, the MCP connection provides read-only analytical access for chat-based questioning only. You can query enrollment statistics, analyze login trends, and investigate course performance, but the AI cannot create courses, modify user accounts, or perform any write operations on your EADBOX environment.
How does the OAuth authentication work when connecting Claude to EADBOX via Kondado? ▼
When you add the Kondado MCP server in Claude or ChatGPT, the client redirects you to app.kondado.com.br where you sign in and grant permission once.
How frequently does the EADBOX data update for AI queries? ▼
Data replicates on a configurable schedule that you set in Kondado, which could be hourly or daily depending on your reporting needs. This ensures your conversations in Claude or ChatGPT reference current enrollment numbers and recent login activity rather than stale information.
What is the difference between asking the AI about EADBOX data and opening a ready dashboard? ▼
Chat-based analysis with Claude or ChatGPT answers specific ad-hoc questions using natural language, like investigating why login rates dropped last Tuesday. Ready reports in Power BI or Looker Studio provide visual templates for recurring monitoring of standard KPIs such as monthly active users and course completion trends.
Which ready dashboard templates are available for visualizing EADBOX data? ▼
Kondado offers pre-built report templates in Power BI and Looker Studio that visualize student engagement metrics, course enrollment funnels, and login activity heatmaps. These templates connect to the same replicated data used for AI chat, providing visual alternatives when you need graphical monitoring rather than conversational analysis.

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