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ASAAS
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.
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.
Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.
In 3 steps: connect on Kondado, pick dashboard or chat, analyze.
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.
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.
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.
Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.
How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.
Try out all the features for free for 14 days