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Bling!
Chat with Claude, ChatGPT, or any MCP client to explore your Bling! ERP data using natural language. Ask about sales order trends across different marketplaces, compare monthly revenue performance between channels, or check the status of accounts receivable and pending invoices without writing a single query or opening the ERP interface. The AI reads your replicated Bling! data and returns actionable insights instantly through conversational analysis, making complex ERP information accessible to everyone on your team regardless of technical expertise.
Kondado replicates Bling! data through 30 pipelines accessible via MCP to Claude, ChatGPT, and other MCP clients, enabling natural language analysis of sales, finance, and operations. The same data also powers ready dashboards in Power BI and Looker Studio.
E-commerce managers monitor marketplace performance by asking about product stock levels, sales velocity, and best-selling categories through simple chat questions. Finance analysts track cash flow, accounts payable deadlines, and banking transactions without navigating complex accounting screens or exporting spreadsheets. Operations teams check order fulfillment status, logistics updates, production order progress, and delivery timelines instantly. Each role gets immediate answers from the replicated Bling! dataset, turning raw ERP records into strategic business intelligence through natural conversation.
The following pipelines expose every aspect of your Bling! operation, from financial transactions to inventory management. Query Sales Orders to analyze revenue patterns and order completion rates across different sales channels. Explore Accounts Receivable to track pending payments and customer debt positions, or examine Products: Stock to monitor inventory levels and avoid stockouts across warehouses. Review Cash and Banks transactions for daily financial control, and analyze Outgoing NFe records to ensure fiscal compliance and monitor tax obligations. Each pipeline unlocks specific operational insights when queried through chat.
Combine Sales Orders with Products: Stock to identify which fast-selling items need replenishment, or cross-reference Accounts Payable with Cash and Banks to optimize payment scheduling and cash flow management. These cross-table analyses reveal correlations that isolated queries cannot capture. Data updates on a configurable schedule, ensuring your conversations with Claude or ChatGPT always reference the latest Bling! transactions and inventory movements.
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 Bling! data source on app.kondado.com.br and select a 'Via Kondado' destination. This replicates your ERP data and makes it available for AI analysis while also powering the Power BI and Looker Studio report templates.
In Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth at app.kondado.com.br. The graphical setup works identically in both clients, requiring no command line commands or JSON configuration.
Start asking natural language questions about your Bling! data in the chat interface. For visual recurring monitoring and structured reporting, open the ready dashboard templates available in Power BI or Looker Studio using the same replicated dataset.
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