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Mixpanel
Chat with Claude, ChatGPT, or any MCP client about your Mixpanel data using natural language. Ask how many unique users triggered specific events last week, compare conversion rates between mobile and web platforms, or identify which features drive the most engagement in your app. The AI reads your replicated Mixpanel events and returns instant insights without you writing a single query or learning complex segmentation syntax.
Kondado replicates Mixpanel data to a destination of your choice and exposes it via an MCP server, enabling direct chat analysis through Claude, ChatGPT, or any MCP-compatible client. The setup includes 1 pipeline with event-level data including distinct_id, timestamps, and event properties. The same data also powers ready dashboard templates in Power BI and Looker Studio for visual monitoring when you need charts instead of conversation.
Product managers and marketing analysts benefit most from this conversational analytics approach. You can ask about user retention cohorts, funnel drop-off points, or event frequency trends without opening Mixpanel directly. Growth teams query event volumes by device type to optimize acquisition spend, while UX researchers investigate how distinct user segments navigate specific workflows or where they abandon critical paths. Everyone gets answers in seconds through simple chat, turning raw event streams into actionable product intelligence that drives roadmap decisions.
The Events pipeline listed below captures user interactions tracked in your Mixpanel project, with 10 fields ready for natural language exploration. When chatting with your AI assistant, you can query the event field to see which features users engage with most frequently, analyze distinct_id patterns to calculate unique visitor counts across different time periods, or filter by the time field to identify peak usage hours and seasonal trends in your app. The pipeline also captures additional properties that reveal user attributes like device type or location, enabling granular segmentation without manual exports. While Mixpanel offers 1 comprehensive pipeline through Kondado, this single stream contains rich behavioral data supporting multiple analytical angles from retention analysis to conversion tracking. Data refreshes on a configurable schedule, ensuring your chat answers reflect the latest user activity rather than stale snapshots.
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.
Choose Mixpanel as your data source and select a 'Via Kondado' destination to replicate your events. This makes the data available for AI chat analysis and ready dashboard templates in Power BI and Looker Studio.
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 read access to your Mixpanel data.
Ask natural language questions about your Mixpanel events, user behavior, or conversion metrics in chat. For visual recurring monitoring and scheduled reports, 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