Chat with your Tangerino data

AI to analyze Tangerino data with Claude and ChatGPT

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

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Tangerino
You
How many total worked hours did we log last week across all employees?
Tangerino
Your team logged 1,247 worked hours last week, with 23% classified as overtime across the engineering and sales departments.
Via Kondado MCP
You
Which department has the highest average overtime this month?
Overtime Analysis
The Operations department leads with avg 12.4 overtime hours per employee, representing a 15% increase compared to the previous month.
Via Kondado MCP
You
How many employees were absent on holidays this quarter?
Attendance
14 employees recorded holiday absences in Q3, with the majority concentrated in the customer support team during July.
Via Kondado MCP
You
What is the current balance of compensatory hours for the top 3 employees?
Compensatory Hours
Your top three employees have accumulated 87, 64, and 52 compensatory hours respectively, totaling 203 hours available for time off.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Tangerino data with Claude and ChatGPT

Chat directly with your Tangerino workforce data using Claude, ChatGPT, or any MCP client to uncover insights about attendance patterns, worked hours, and employee time records. Ask how many compensatory hours your team accumulated last month, which departments show the highest overtime rates, or compare current attendance trends against previous quarters. The AI interprets your natural language questions and queries the underlying data instantly, delivering answers without requiring technical skills or manual report building.

Kondado replicates Tangerino data through an MCP server, enabling analytical chat in Claude, ChatGPT, and other compatible clients. With 2 data pipelines encompassing 153 fields from Daily Summary and Employees, you can interrogate workforce metrics conversationally. The same data foundation also supports ready report templates in Power BI and Looker Studio for visual monitoring.

HR managers track absenteeism trends and overtime distribution by simply asking about specific date ranges or departmental breakdowns. Operations leaders monitor attendance compliance and identify scheduling gaps through conversational queries about clock-in patterns. Finance teams verify paid hours and compensatory time balances to support accurate payroll processing. All these stakeholders access workforce intelligence directly through chat, eliminating the need for complex spreadsheet manipulation or technical database queries.

I prefer ready dashboards

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

View Tangerino dashboards →

I want to ask the AI

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

View MCP setup →

The data pipelines below contain all the workforce information available for conversational analysis. The Daily Summary pipeline captures critical time tracking metrics including worked hours, paid hours, and compensatory hours alongside employee identifiers and holiday flags, enabling you to query attendance patterns and overtime accumulation. The Employees pipeline stores essential HR information such as names, email addresses, admission dates, and job role identifiers, allowing you to correlate attendance data with specific team members and departments. Together, these pipelines provide comprehensive visibility into workforce management through simple chat questions. By cross-referencing Daily Summary records with Employee details, you can analyze which job roles generate the most overtime or identify departments with recurring attendance issues. Regular updates on a configurable schedule ensure your AI assistant always references the latest clock-in records and employee status changes when answering questions.

How to connect Tangerino 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

Tangerino 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.

2
Tables
153
Fields
∞
Ad-hoc questions
Daily Summary
Includes information such as worked hours, paid hours, and compensatory hours. Fields like id, employeeid, and isholiday help analyze employee attendance.
Employees
Contains data about employees, including name, email, and admission date. Fields like id, jobroledto__id, and birthdate provide essential details about each employee.
Full docs on the wiki → Connect Tangerino now →

How to connect and use AI with your data

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

1
Connect Tangerino at app.kondado.com.br

Select Tangerino as your data source and choose a 'Via Kondado' destination to replicate your attendance and employee data, making it available for AI queries and dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

Open the connection settings in Claude Web, Claude Desktop, or ChatGPT, add the Kondado MCP server, and authorize via OAuth at app.kondado.com.br, no code or CLI required.

3
Ask about Tangerino in chat

Type natural language questions about worked hours, attendance patterns, or employee status; for ongoing visual monitoring, open the ready Power BI or Looker Studio report templates.

Other connectors with AI via MCP

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

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Support and Customer Service

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MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
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Productivity and Collaboration

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Social Media

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User Analytics

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Storage and Transfer

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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 attendance questions can I ask Claude or ChatGPT about my Tangerino data? ▼
You can ask about total worked hours per employee, identify who accumulated the most compensatory time last month, compare overtime trends between departments, or check attendance rates for specific date ranges. The AI queries your Daily Summary and Employees pipelines to return specific counts, percentages, and comparisons based on the 153 available fields.
How do I configure Claude Web or Desktop to access my Tangerino data through Kondado? ▼
In Claude Web or Desktop, navigate to the connection settings and add the Kondado MCP server. You will be redirected to app.kondado.com.br to authorize access via OAuth, granting the AI read-only permission to your replicated Tangerino data. Other MCP clients also work using the same server URL and authentication flow.
Can the AI write data back to Tangerino or execute actions like approving timesheets? ▼
No, the AI provides read-only analytical chat. It can retrieve and analyze your attendance records, worked hours, and employee information, but cannot approve timesheets, modify clock-in entries, or write data back to Tangerino. For data modifications, you must use the Tangerino application directly.
How does the OAuth authentication work when connecting ChatGPT to Kondado? ▼
When you add the Kondado MCP server in ChatGPT, the interface prompts you to sign in at app.kondado.com.br. You authenticate once using your Kondado credentials and grant permission for the AI to access your Tangerino pipelines. This OAuth token remains valid for subsequent chat sessions until you revoke it.
How often does the Tangerino data update in the AI chat? ▼
Kondado replicates Tangerino data on a configurable schedule that you set when configuring the pipeline. Depending on your plan and settings, updates may occur multiple times daily, ensuring the AI references recent clock-in records and employee changes when answering your questions.
What is the difference between asking the AI about Tangerino data and using the Power BI templates? ▼
Asking the AI in chat provides immediate, specific answers to ad-hoc questions about attendance, hours, or employee status using natural language. The Power BI and Looker Studio templates offer visual dashboards for recurring monitoring of workforce trends, displaying charts and graphs that update automatically alongside your chat-accessible data.
Do I need technical skills or coding knowledge to configure the MCP connection in ChatGPT? ▼
No coding or CLI commands are required. Both Claude and ChatGPT offer GUI-based configuration where you simply paste the MCP server URL and complete the OAuth flow. The entire setup happens through web interfaces, making it accessible to business users without technical backgrounds.

Try out all the features for free for 14 days