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Oracle
Ask Claude, ChatGPT or any MCP client about your Oracle data using natural language chat. Query sales performance across custom application schemas, check inventory levels from specific database views, or compare quarterly KPIs across different business units without writing a single line of SQL. The AI reads your replicated Oracle structures and returns instant insights in conversational format.
Kondado exposes Oracle data through an MCP server, enabling Claude, ChatGPT, and other MCP clients to query 1 pipeline of tables and views via natural language chat. The same replicated data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.
Finance managers can ask about budget variances stored in Oracle financial modules, while operations teams query production metrics or supply chain status directly from their database views. E-commerce analysts investigate order trends and customer segmentation without requesting exports from IT. Marketing teams check campaign performance data stored in Oracle CRM tables. Simply type your question in chat and get data-backed answers about your Oracle environment immediately.
The pipeline below dynamically exposes every table and view Kondado discovers in your Oracle database.
When chatting with Claude or ChatGPT, you can ask about sales order records, financial budget views, inventory tracking datasets, or customer master data within this single pipeline. Each data structure unlocks distinct insights: sales records reveal revenue trends and conversion patterns, financial views expose cost centers and profitability metrics, while inventory datasets show turnover rates and stock levels. Combining sales records with inventory data lets you analyze stock-to-sales ratios and identify fulfillment bottlenecks. Merging customer information with transaction history enables cohort analysis and lifetime value calculations. Since Kondado updates this pipeline on a configurable schedule, your AI assistant always provides answers based on the latest Oracle data.
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.
Visit app.kondado.com.br to add Oracle as a data source and select a Via Kondado destination. Your database tables and views replicate on a configurable schedule, becoming available for AI chat and ready dashboard templates.
In Claude (Web or Desktop) or ChatGPT, open the connection settings and add the Kondado MCP server. Authorize once via OAuth at app.kondado.com.br to grant read access. No CLI commands or JSON configuration is required for either client.
Start asking natural language questions about your Oracle data in the chat interface. For recurring visual monitoring, open a ready Power BI or Looker Studio dashboard template connected to the same data.
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.
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