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Nuvemshop (Tiendanube)
Connect your Nuvemshop (Tiendanube) store to Claude, ChatGPT, or any MCP client and analyze your e-commerce data through natural language chat. Ask about daily sales performance across specific product categories, investigate abandoned cart patterns to understand checkout friction, or compare shipping method costs across different distribution centers. The AI accesses your replicated store data and returns analytical answers, transforming complex e-commerce metrics into simple conversations that drive inventory, marketing, and pricing decisions.
Kondado offers a direct integration with Nuvemshop (Tiendanube) that exposes 25 data pipelines through an MCP server, enabling Claude, ChatGPT, and other MCP clients to answer analytical questions about your e-commerce operations. The same replicated data also powers ready reports in Power BI and Looker Studio.
E-commerce managers use this to monitor inventory levels across distribution centers and track completed sales against available stock. Marketing analysts explore which coupons drive actual conversions versus abandoned carts, while operations teams analyze shipping events and delivery timelines. Finance professionals query total sales values, applied promotion discounts, and shipment costs to understand true margins. Everyone asks questions in plain English, Spanish, or Portuguese without writing code or navigating complex database interfaces.
Dashboard templates in Power BI and Looker Studio, connected to your Nuvemshop (Tiendanube) data by Kondado in minutes.
View Nuvemshop (Tiendanube) dashboards →Claude, ChatGPT and other MCP clients query your Nuvemshop (Tiendanube) data in natural language.
View MCP setup →The Nuvemshop (Tiendanube) data source replicates 25 pipelines encompassing your entire e-commerce operation, from product catalogs to completed transactions. Query the Abandoned Carts pipeline to identify checkout friction points and recovery opportunities, explore the Sales pipeline to track revenue trends and shipment statuses, or analyze the Products and Products: Variations pipelines to understand which SKUs drive traffic versus conversions. The Customers pipeline enables segmentation analysis while Distribution Centers and Distribution Center Inventory optimize your logistics strategy. Cross-reference Sales: Applied Promotions with Sales: Coupons to measure which discount strategies actually drive profitable conversions, or combine Abandoned Cart Products with Products: Custom Fields to identify specific product attributes that correlate with checkout abandonment. Because Kondado replicates data on a configurable schedule, your AI chat always references current inventory levels, recent customer registrations, and up-to-date sales figures 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.
Visit app.kondado.com.br to create a pipeline from Nuvemshop (Tiendanube) and select a 'Via Kondado' destination. This replicates your store data, making it available for AI analysis and for the Power BI and Looker Studio report 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 the AI read access to your replicated Nuvemshop data without any CLI commands or code.
Start asking questions in natural language about your sales, inventory, and customers. For visual recurring monitoring, open the ready Power BI or Looker Studio dashboard templates that use 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.
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