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Meetime
Ask Claude, ChatGPT or any MCP client about your Meetime sales data in natural language. Query demonstration conversion rates, call connection metrics, or prospect pipeline status without writing SQL. Get instant answers about SDR performance and lead origins directly in your AI chat interface, transforming how inside sales teams access their CRM insights without technical barriers.
Kondado replicates Meetime data into a structured format accessible via MCP server, enabling Claude, ChatGPT and other MCP clients to query 3 pipelines including Demonstrations, Calls and Prospects. The same data also powers ready reports in Power BI and Looker Studio for visual monitoring.
Sales managers and operations teams benefit most from this conversational analytics approach. Marketing analysts can ask about lead origin distribution across prospect records to optimize campaign spend and attribution accuracy. Sales directors query connected call durations versus demonstration bookings to refine SDR scripts and improve booking rates across different prospect segments. Finance teams analyze pipeline velocity by comparing prospect begin dates to demonstration completion status, identifying bottlenecks through simple chat questions that would otherwise require complex report building or manual spreadsheet exports.
The available data pipelines unlock granular insights into your inside sales operations when queried through AI chat. The Demonstrations pipeline reveals demo scheduling efficiency and completion rates across your sales floor, while the Calls pipeline exposes connection patterns and average talk time trends that indicate SDR engagement quality. The Prospects pipeline tracks lead origin attribution and lost reason categorization, helping identify which sources consistently convert to booked meetings versus those requiring additional nurturing. Cross-referencing Calls with Demonstrations shows which conversation lengths correlate with successful demo bookings, while joining Prospects to Calls reveals conversion velocity from lead creation to first contact attempt. With updates on a configurable schedule, your AI assistant always references fresh Meetime records when answering questions about current pipeline status and recent sales activities.
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 Meetime on Kondado at app.kondado.com.br and pick a 'Via Kondado' destination. Your 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 same setup works in both clients with no CLI or code needed.
Ask in chat using natural language about Meetime data. 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