No credit card required | 14 days | 10 million records | 30 pipelines
or sign up with your email
By signing up, you agree to Kondado’s Terms of service and Privacy policy
SQLServer
Ask Claude, ChatGPT or any MCP client about your SQLServer data using natural language chat to uncover sales trends, track inventory KPIs, and compare operational metrics across periods. Instead of writing SQL queries manually, business teams can simply type questions about transaction volumes, customer records, or financial summaries and receive instant analytical answers. The AI reads your replicated SQLServer tables and views to deliver insights on demand, turning complex database structures into conversational intelligence.
Kondado replicates SQLServer data to make it accessible via MCP for analysis in Claude, ChatGPT, and other compatible clients. With 1 pipeline automatically mapping your database tables and views, you can query business metrics through chat while the same data powers ready dashboards in Power BI and Looker Studio.
Finance managers monitor cash flow and revenue recognition directly in chat without requesting IT reports, while operations teams track order fulfillment and stock levels by asking simple questions about their SQLServer records. Marketing analysts compare campaign performance against transactional data stored in the database, and e-commerce managers review customer behavior patterns by querying views that aggregate purchase history. Every department gains self-service access to Microsoft SQLServer insights through conversational AI, eliminating dependency on technical teams for routine data exploration.
The pipelines below expose your SQLServer database structure for AI querying. You can ask about sales performance using the Orders pipeline to calculate monthly revenue and average order values, explore customer segmentation through the Customers pipeline to identify high-value accounts, analyze stock turnover via the Inventory pipeline to prevent shortages, and review profit margins using the Products pipeline to optimize pricing strategies. The Transactions pipeline reveals payment patterns and cash flow timing, while joining the Orders and Customers pipelines enables cohort analysis and lifetime value calculations directly in chat. Combining multiple pipelines allows you to correlate marketing spend with actual sales recorded in SQLServer or match inventory levels against pending orders. With automated updates on a configurable schedule, your AI assistant always references the latest SQLServer records when answering questions about business performance.
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 SQLServer database on Kondado at app.kondado.com.br and select a '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, using the same simple setup in both clients with no CLI or code needed.
Ask in chat using natural language about SQLServer data, and for visual recurring monitoring, open a ready Power BI or Looker Studio dashboard template.
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