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Query local data files with SQL to give AI grounded answers.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Pipetable" yet — see the docs or source repo.
Use Pipetable to query ./data/sales_2024.csv, summarize revenue, order count, and average order value by month, and identify the top three months by revenue.
Returns executable SQL-backed results with monthly summaries and the top revenue months.
Use Pipetable to query ./logs/events.json, count each error type over the last 7 days, and list the fastest-growing errors.
Outputs JSON-based statistics that help identify recent error trends.
Use Pipetable to query ./warehouse/orders.parquet and ./warehouse/customers.tsv together, find orders without matching customer records, and count them.
Returns cross-file join results highlighting missing or inconsistent records.
Query CSV, Parquet, and JSON files in one folder using SQL.
Query, clean, join, profile, and convert tabular data with DuckDB over MCP.
Query and analyze local or cloud data with DuckDB through AI assistants.
Analyze local CSV or Parquet datasets and generate insights without full uploads.
Query, manage, and inspect ClickHouse databases directly through an AI assistant.
Let AI read, edit, and query local Tableau workbook files.