"NumPy" matching MCP servers:

Enables MCP clients to upload tabular datasets and run deterministic Pandas, NumPy, Excel/openpyxl, and automated EDA operations through registered tools.

A FastMCP server for natural language data analysis that allows users to load CSV files, execute Python code with pandas and numpy, and generate matplotlib visualizations. It provides a suite of tools for data exploration, statistical summaries, and querying datasets through MCP-compatible clients.

Enables LLM clients to analyze numerical data series (NumPy, Pandas, Polars, lists) and receive token-efficient natural-language summaries of trend, volatility, anomalies, seasonality, and data quality instead of raw values. Supports single-series analysis, batch processing of multiple series, and structured JSON output.