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Blip (take)
Chat with Claude, ChatGPT, or any MCP client about your Blip (take) ticket data using natural language. Ask about current ticket volumes, track resolution status changes, identify patterns in unread messages across your support queues, or compare creation dates to spot peak demand periods. The AI reads your replicated data and returns instant answers without requiring technical queries, SQL knowledge, or manual spreadsheet exports.
Kondado replicates Blip (take) data and exposes it via an MCP server to Claude, ChatGPT, and other MCP clients. The dataset includes 1 pipeline (Tickets) containing 17 fields covering identifiers, status, creation dates, and unread messages. The same replicated data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.
Customer support managers and operations teams benefit from asking specific questions like which tickets have been open longest, how many unread messages accumulate per agent, or what time periods generate the most new tickets. CX directors can compare weekly resolution rates, track status distribution changes, and identify backlog trends without waiting for manual reports. Business users across marketing and e-commerce operations get immediate insights by chatting naturally about their Blip (take) service data and customer interaction patterns.
The Blip (take) data available through Kondado includes the Tickets pipeline detailed below for immediate AI analysis. This single pipeline contains 17 distinct fields including unique ticket identifiers, current status categories, precise creation timestamps, unread message counters, and resolution tracking data. You can examine creation date patterns to identify peak support hours, analyze status distributions to track open versus closed ratios, monitor unread counts to prioritize agent workloads, and query specific ticket IDs for detailed case review. While this source currently provides one primary pipeline, its comprehensive field structure supports deep operational analysis without requiring cross-table joins, allowing you to investigate trends across all 17 data points. Data updates on a configurable schedule, ensuring your chat answers reflect the most recent ticket activity and status changes from your Blip (take) account.
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 Blip (take) data source at app.kondado.com.br and select a Via Kondado destination. Your ticket data lands ready for AI access and for the dashboard templates.
In Claude Web or Desktop, or in ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth. The setup is identical across clients and requires no CLI commands.
Ask questions in natural language about your Blip (take) tickets and metrics. For visual recurring monitoring, 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