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FTP
Chat with Claude, ChatGPT, or any MCP client to explore your FTP file contents without writing code. Ask how many rows are in yesterday’s CSV uploads, compare column structures across different files, or validate data completeness before processing. The AI reads your replicated file data and returns answers in seconds, turning raw FTP storage into accessible business insights.
Kondado replicates FTP data into 1 pipeline accessible via MCP, enabling Claude, ChatGPT, and other clients to analyze your CSV files through chat. The same data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.
Operations managers, data analysts, and finance teams benefit from instant file validation without downloading individual documents. Simply ask about row counts, column variations, or file basenames to verify data quality. Compare weekly upload volumes or identify missing fields across your FTP directory using conversational queries that eliminate manual file inspection.
The CSV pipeline below exposes every row and column from your FTP files, enabling granular file content analysis through natural language chat.
Query this pipeline to inspect row_number totals for specific __file_basename entries, analyze column_number distributions across different uploads, or compare file dimensions between yesterday and today. Investigate schema variations by examining which files contain the most columns, or validate data completeness by checking for unexpected row counts. While FTP provides this single comprehensive pipeline, you can contextualize these file metrics alongside other business data in your Kondado workspace for deeper operational insights. Data refreshes on a configurable schedule, ensuring your chat queries always reference the latest file uploads.
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 app.kondado.com.br and connect your FTP server as a data source, selecting a 'Via Kondado' destination so your file data lands ready for AI access and the available dashboard templates.
Open the connection settings in Claude Web or Desktop, or in ChatGPT, and add the Kondado MCP server. Authorize once via OAuth at app.kondado.com.br to enable chat-based analysis without CLI commands or coding.
Ask questions in natural language about your CSV files, row counts, and column structures. For recurring visual monitoring, open the ready Power BI or Looker Studio dashboard templates powered by the same 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