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GetQueryly Launches MCP Server and REST API for AI-Powered Data Analysis

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GetQueryly has released a data analysis platform offering both an MCP server and a REST API, allowing users to upload files in formats such as CSV, Excel, JSON, PDF, and Parquet for AI-driven querying. Users can ask questions in plain English and receive charts, explanations, and automated Quick Insight summaries based on their actual uploaded data. The tool integrates out of the box with AI clients like Claude and Cursor, addressing a common problem where AI assistants guess about data they cannot directly access. Operations are priced in a credit unit called 'Makes', with uploads being free and more complex analyses such as swarm runs costing up to six credits. A free tier is available for daily testing, with paid credit packs available for heavier usage.

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