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MySQL (& MariaDB)
Ask Claude, ChatGPT or any MCP client about your MySQL (& MariaDB) data in natural language chat. Query sales performance from your e-commerce orders table, check inventory levels across warehouse views, or compare customer cohorts from your user database without writing SQL. The AI understands your schema and delivers instant answers from your replicated data, turning complex relational information into actionable business insights.
Kondado replicates MySQL (& MariaDB) data and exposes it via MCP server to Claude, ChatGPT and other MCP clients, making 1 pipeline of tables and views available for conversational analysis. The same data also powers ready dashboards in Power BI and Looker Studio.
Marketing analysts track campaign ROI by querying conversion tables, while e-commerce managers monitor stock alerts and sales velocity from operational databases. Finance teams reconcile transactions across multiple tables to close books faster, and operations leaders identify bottlenecks in fulfillment views. Everyone asks questions in plain English and receives data-backed answers immediately, eliminating the need for technical SQL expertise or manual spreadsheet exports.
Dashboard templates in Power BI and Looker Studio, connected to your MySQL (& MariaDB) data by Kondado in minutes.
View MySQL (& MariaDB) dashboards →Claude, ChatGPT and other MCP clients query your MySQL (& MariaDB) data in natural language.
View MCP setup →The pipeline below maps every table and view from your MySQL (& MariaDB) database into a structured format optimized for AI queries. Query your orders table to uncover average order value trends, analyze the customers view to identify high-lifetime-value segments, or explore inventory tables to flag low-stock SKUs requiring replenishment. Product catalogs reveal category performance gaps, while transaction logs expose seasonal payment patterns. Cross-reference sales data with customer demographics to pinpoint regional buying behaviors, or join inventory levels with supplier views to optimize reorder points. With automated refreshes on a configurable schedule, your AI assistant always references current figures when answering questions about database status.
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.
Configure your data source in the Kondado platform and select 'Via Kondado' as the destination. Your database tables and views replicate on a configurable schedule, landing ready for AI access and for the Power BI and Looker Studio 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 link your MySQL (& MariaDB) pipelines, using the same simple GUI setup in both clients with no CLI or code required.
Ask questions in natural language about your MySQL (& MariaDB) tables and views to get instant analytical answers. For visual recurring monitoring of key metrics, open a ready Power BI or Looker Studio dashboard template powered by the same replicated 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.
Try out all the features for free for 14 days