"NumPy" matching MCP servers:

An MCP server that exposes NumPy functionality as tools, enabling array creation, manipulation, mathematical operations, linear algebra, random sampling, statistics, and element-wise math through natural language.

A FastMCP server for mathematical computations, including numerical and symbolic calculations with NumPy and SymPy integration, as well as data visualization through Matplotlib.

MCP server that provides a persistent IPython kernel for executing Python code with pre-loaded numpy, pandas, and matplotlib, supporting stateful computation and inline visualizations.

Provides a token-efficient exact math engine for AI agents, enabling computation of derivatives, integrals, equations, and optimized Python/NumPy code via a single MCP tool.

Enables users to create, inspect, analyze, format, and chart Excel workbooks by having the client LLM write Python that runs in a fresh, network-restricted Docker container. Exposes a single execute_python tool with access to openpyxl, pandas, numpy, and matplotlib, persisting files between calls.

Enables an LLM to design parametric 3D parts in pure NumPy and verify they are actually printable before exporting them. Provides topology checks (watertightness, genus, shell count, wall thickness), self-rendered views, and gated STL/OBJ export that refuses broken solids.

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 agents to perform local Houston retail site-selection analysis by calling ArcPy/numpy tools over stdio for geocoding, hex profiling, overlay suitability, embedding similarity, hot-spot detection, and validation, with sources, checks, and caveats included.