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Recruiterbox
Chat with Claude, ChatGPT or any MCP client about your Recruiterbox hiring data using natural language. Ask how many candidates are currently in the final interview stage for priority openings, compare average time-to-hire across different departments or locations, or identify which recruitment channels are generating the most qualified applicants for specific roles. Other MCP clients also work with the same setup, and the AI reads your replicated Recruiterbox data to return instant insights without you writing a single SQL query or exporting spreadsheets.
Kondado replicates data from Recruiterbox into a structured format accessible via MCP, enabling AI analysis through Claude, ChatGPT, and other compatible clients across 3 pipelines: Openings, Candidates, and Candidate Messages. The same data also powers ready dashboard templates in Power BI and Looker Studio for visual monitoring.
Talent acquisition teams, hiring managers, and HR analysts benefit from immediate answers about recruitment funnel health without pulling manual reports or waiting for BI updates. Recruiters can ask about candidate conversion rates by source and stage, operations teams can check the status of pending offers and time-to-fill metrics for critical positions, and department heads can analyze communication patterns with top candidates through the Candidate Messages pipeline. Everyone gets specific answers in seconds using conversational chat instead of navigating complex ATS interfaces or requesting custom exports.
The pipelines detailed below represent the Recruiterbox data available for conversational analysis. The Openings pipeline reveals insights about position types, descriptions, and close dates, helping you track hiring velocity and department-level demand. The Candidates pipeline contains essential fields like stage, source, and contact details, enabling you to analyze conversion funnels and identify bottlenecks in your selection process. The Candidate Messages pipeline captures communication history including sender details and timestamps, allowing you to assess response times and engagement quality throughout the recruitment cycle.
By combining these three datasets in a single conversation, you can ask sophisticated questions about how messaging frequency correlates with candidate progression or which openings generate the most applicant communications. Since Kondado updates this information on a configurable schedule, your AI assistant always references fresh data when answering questions about current pipeline status and recent hiring activity.
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 Kondado at app.kondado.com.br, add Recruiterbox as a data source, and select a 'Via Kondado' destination so your hiring data lands ready for AI access and the dashboard templates.
Open the connection settings in Claude Web or Desktop, or in ChatGPT, add the Kondado MCP server, and authorize via OAuth once at app.kondado.com.br to enable immediate chat access.
Start chatting with natural language questions about your openings, candidates, and messages, or open a ready Power BI or Looker Studio template for visual recurring monitoring of your recruitment metrics.
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