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Data Science Tools
Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a data-quality audit (missing values, duplicates, mixed types, outliers), and memory-saving dtype suggestions. Pure Python (pandas); files are read locally and nothing leaves your machine. `pip install data-profiler-mcp`.
Data Science Tools
Numerical methods MCP server for root finding, numerical integration, differential equations (RK4), and Lagrange interpolation.
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