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SenseData
Ask Claude, ChatGPT, or any other MCP client about your SenseData customer data using natural language. Query client registration trends by city, analyze CNPJ distributions across regions, compare client stage progressions between months, identify registration velocity patterns, or examine status transition timelines without writing SQL. The AI reads your replicated SenseData data and returns insights instantly in chat, transforming raw customer records into actionable business intelligence for your entire organization.
Kondado offers an MCP server that connects SenseData data to Claude, ChatGPT, and any MCP-compatible client, exposing 1 pipeline with 159 fields for conversational analysis. The same replicated data also powers ready dashboards in Power BI and Looker Studio.
Customer success managers can identify onboarding bottlenecks by asking about client stage distributions and conversion timelines across different customer segments. Marketing analysts can query registration patterns by municipality to optimize geographic targeting and campaign performance. Operations teams monitor CNPJ validation status and client categorization efficiently, all through intuitive chat conversations that turn complex SenseData records into immediate, data-backed answers for strategic decisions.
The SenseData data source structures your customer information into pipelines ready for immediate AI querying, delivering comprehensive client records to your MCP client for natural language analysis. The Clients pipeline contains 159 fields including CNPJ, city, status, and registration date, enabling deep analysis of customer geography and lifecycle stages. You can explore client concentration by municipality, track status transitions over time, segment registrations by date ranges, analyze CNPJ patterns by state, or query registration velocity by month directly in your chat interface.
While SenseData provides a unified customer view within its single comprehensive pipeline containing all 159 client fields, you can cross-reference this data with other sources in your Kondado account for broader business intelligence across sales, marketing, and support departments. Automated updates on a configurable schedule ensure your AI conversations always reference the latest client records, registration dates, and status changes without requiring manual refreshing or repetitive data exports.
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.
Log in to your Kondado account, add SenseData as a data source, and select a Via Kondado destination. This ensures your client data lands ready for both AI access through MCP and the available Power BI or Looker Studio dashboard templates.
Open Claude (Web or Desktop) or ChatGPT, navigate to the MCP server connection settings, and add the Kondado MCP endpoint. Authorize once via OAuth at app.kondado.com.br to establish the connection. The setup process is identical in both clients and requires no CLI commands or JSON configuration.
Begin asking natural language questions about your SenseData client data, such as CNPJ distributions or registration trends by city. For ongoing visual monitoring of standard metrics, open one of 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.
Try out all the features for free for 14 days