Brings pandas DataFrame operations into Claude through 15+ tools covering data loading, transformation, aggregation, and memory optimization. You can read CSV/Excel/Parquet files, filter and merge datasets, compute statistics, handle missing values, and optimize memory usage without switching contexts. Part of the CLIO Kit collection from Illinois Tech's Gnosis Research Center, designed for scientific computing workflows where you need to wrangle tabular data inline. Handles the routine pandas operations that typically require dropping into a notebook, letting you explore and transform datasets through conversation. Best for quick data prep, exploratory analysis, and cleaning tasks that don't need full visualization.
claude mcp add --transport stdio io.github.iowarp-pandas-mcp uvx pandas-mcp