Chat with your ASAAS data

AI to analyze ASAAS data with Claude and ChatGPT

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

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ASAAS
Works in Claude, ChatGPT and any MCP client

AI to analyze ASAAS data with Claude and ChatGPT

Ask Claude, ChatGPT or any MCP client about your ASAAS financial data in natural language. Query payment trends, client segmentation, or receivables status without writing SQL. Simply chat with your AI assistant to uncover insights about sales performance and outstanding invoices directly from your digital banking platform.

Kondado enables AI-powered analysis of ASAAS data through an MCP server compatible with Claude and ChatGPT, exposing 2 pipelines (Clients and Payments) with 128 fields for natural language querying. The same replicated data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.

Finance managers and operations teams benefit from instant answers about cash flow patterns and client payment behaviors. Marketing analysts can identify high-value customer segments by combining demographic data with transaction history. E-commerce managers track revenue recognition and billing type distributions to optimize payment strategies, all through conversational AI that understands your specific ASAAS schema.

The ASAAS data source exposes structured financial information through dedicated pipelines designed for analytical queries. The Clients pipeline unlocks insights about your customer base, allowing questions about geographic distribution across cities and states or CPF/CNPJ segmentation for B2B versus B2C analysis. The Payments pipeline contains transaction details including values, dates, and billing types, enabling queries about revenue trends, discount utilization, and interest charges across different payment methods. Cross-analyzing Clients with Payments reveals which customer segments generate the highest receivables or which regions show delayed payment patterns, connecting demographic fields to financial performance. Automated updates on a configurable schedule ensure your AI assistant always references current transaction statuses and client information when answering questions.

How to connect ASAAS 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
AI vocabulary

ASAAS 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
128
Fields
Ad-hoc questions
Clients
Table contains information about clients, including fields such as name, email, and CPF/CNPJ, along with details like city and state.
Payments
Table presents payment data, with fields such as payment date, value, status, and billing type, along with information on discounts and interest.

How to connect and use AI with your data

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

1
Connect ASAAS at app.kondado.com.br

Connect your ASAAS account on Kondado at app.kondado.com.br and select the 'Via Kondado' destination so your data lands ready for AI access and for the dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

In Claude Web or Desktop, or in ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth at app.kondado.com.br. The setup is identical in both clients and requires no CLI commands or code.

3
Chat about ASAAS or open dashboards

Ask questions in chat using natural language about your ASAAS data. For visual recurring monitoring, open a ready Power BI or Looker Studio dashboard template connected to the same information.

Other connectors with AI via MCP

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

CRM and Sales

Marketing and Automation

Advertising and Media

E-commerce and Marketplaces

Financial and Payments

Support and Customer Service

Databases

Productivity and Collaboration

Social Media

User Analytics

Storage and Transfer

Frequently asked questions about AI

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

What business questions can Claude or ChatGPT answer about my ASAAS data?
You can ask about total receivables by billing type, identify clients with overdue payments exceeding specific thresholds, analyze payment value trends month-over-month, or compare discount usage across different customer segments. The AI interprets your natural language questions and queries the underlying Clients and Payments pipelines to return specific metrics and rankings.
How do I configure Claude or ChatGPT to access my ASAAS data through Kondado?
In Claude Web or Desktop, or directly in the ChatGPT interface, navigate to the connection settings and add the Kondado MCP server. The setup uses a graphical interface where you authorize access once via OAuth at app.kondado.com.br, with no command line tools or code snippets required. Other MCP clients follow the same simple authentication flow.
Does the AI have read-only access or can it execute actions in my ASAAS account?
The AI has read-only access for analytical chat only. It can query your Clients and Payments data to answer questions about transaction history and customer information, but cannot create invoices, process refunds, modify client records, or perform any write operations in your ASAAS account.
How does authentication work when connecting my ASAAS data to Claude or ChatGPT?
Authentication occurs through OAuth at app.kondado.com.br, where you grant permission for the MCP server to access your replicated ASAAS data. This one-time authorization creates a secure connection between your Kondado account and your chosen AI client, allowing immediate natural language querying without additional credentials.
How often is the ASAAS data updated for AI analysis?
Data updates occur on a configurable schedule that you set in Kondado, ensuring your AI assistant references near-real-time information when answering questions about payment statuses and client details. The update frequency applies consistently to both AI chat access and the Power BI or Looker Studio dashboard templates.
What dashboard templates are available for visual monitoring of ASAAS data?
Kondado offers ready report templates in Power BI and Looker Studio that visualize ASAAS metrics including receivables aging, payment method distribution, and client geographic analysis. These templates connect to the same replicated data used by Claude and ChatGPT, providing visual monitoring alongside conversational analysis.
What is the difference between asking the AI about ASAAS data and opening a ready dashboard?
Asking the AI in chat provides ad-hoc answers to specific business questions using natural language, such as querying specific client payment behaviors or calculating custom date ranges. Ready dashboards in Power BI or Looker Studio offer fixed visual layouts for recurring monitoring of standard KPIs like monthly revenue trends and outstanding invoice totals.

Try out all the features for free for 14 days