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MongoDB
Connect your MongoDB data to Claude, ChatGPT or any MCP client and start analyzing through natural language chat. Ask about document volume trends across your collections, compare performance metrics between different database views, or check the status of specific records without writing a single query. The AI understands your NoSQL schema and returns actionable insights instantly.
Kondado provides a direct integration with MongoDB via the open MCP standard, enabling Claude, ChatGPT and other MCP clients to access 1 pipeline of Collections and Views data. The same replicated data also powers ready reports in Power BI and Looker Studio for complementary visual monitoring.
E-commerce managers using MongoDB Atlas can ask about customer purchase patterns stored in document collections to optimize inventory decisions. Marketing analysts query campaign performance metrics from specific views to measure ROI across channels. Finance teams track billing document statuses and revenue trends by date range, while operations specialists monitor collection growth rates, all through simple chat conversations that transform complex NoSQL structures into immediate business intelligence.
The data structure below shows exactly what becomes available for AI analysis once you establish the connection. Your Collections and Views pipeline contains all document structures from your MongoDB database, unlocking insights about document counts, field distributions, and relationships between stored entities. When you chat with Claude or ChatGPT about this pipeline, you can explore collection metadata to understand data volume trends, analyze view definitions to track calculated metrics, and query specific document attributes to answer operational questions. Since Kondado maps every collection and view automatically, you can combine analysis across different document types to identify patterns in customer behavior, product catalogs, or transaction histories. Updates run on a configurable schedule, ensuring your AI conversations always reference the freshest MongoDB data for accurate decision-making.
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 your MongoDB data source and choose a Via Kondado destination. Your Collections and Views data lands ready for immediate AI access through MCP and for the Power BI and Looker Studio dashboard templates.
Open Claude Web or Desktop, or ChatGPT, navigate to the MCP connection settings and add the Kondado server. Authorize once via OAuth at app.kondado.com.br to enable natural language queries about your MongoDB data, with identical setup across both clients and no code required.
Start asking Claude or ChatGPT questions about your Collections and Views using everyday language. For ongoing visual monitoring of the same MongoDB data, 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