No credit card required | 14 days | 10 million records | 30 pipelines
or sign up with your email
By signing up, you agree to Kondado’s Terms of service and Privacy policy
55pbx
Ask Claude, ChatGPT or any other MCP client about your 55pbx contact center data in natural language. Query call volumes, agent productivity metrics, and queue performance without writing SQL or opening spreadsheets. Discover which campaigns generate the most 0800 interactions, compare handle times across teams, or check current agent status instantly through conversational analysis.
Kondado enables direct AI analysis of 55pbx data through an MCP server compatible with Claude, ChatGPT, and other MCP clients, exposing 2 data pipelines (Calls and Agent Status) with 70 fields total. The same replicated data also powers ready dashboard templates in Power BI and Looker Studio for visual monitoring.
Contact center managers and operations analysts benefit immediately by asking specific business questions in chat, such as identifying peak call hours for staffing optimization, calculating average call costs per queue, or tracking agent pause patterns. Marketing teams can correlate 4003 number usage with campaign periods, while finance reviewers audit call expenses and duration trends without requesting manual reports from IT.
The field listing below details the 70 available data points across your 55pbx pipelines. The Calls pipeline unlocks insights into total call duration, individual call costs, and disconnection types, helping you identify expensive dropped connections or high-value completed interactions. The Agent Status pipeline reveals user names, pause reasons, and remaining break time alongside queue assignments, enabling workforce efficiency analysis. Combining these two datasets allows you to correlate agent availability with incoming call volumes, spotting coverage gaps during high-traffic periods. Since Kondado updates this information on a configurable schedule, your AI conversations always reference fresh operational 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.
Connect 55pbx at app.kondado.com.br and select a Via Kondado destination so your call records and agent status data land ready for AI access and the dashboard templates.
In Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth, the same GUI-based setup works in both clients with no CLI or code required.
Ask questions in chat about your 55pbx call volumes, agent productivity, or queue performance, or open a ready Power BI or Looker Studio dashboard template for visual recurring monitoring.
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