NumPy is the fundamental package for scientific computing with Python. It provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.
Why this server?
Supported as an optional dependency when running Python code through the run-python-code tool
Why this server?
Exposes NumPy functionality as MCP tools, including array creation, manipulation, mathematical operations, linear algebra, random sampling, statistics, and element-wise math operations.
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Supports processing images from numpy arrays, allowing direct integration with numpy-based image processing workflows.
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Fetches official NumPy documentation for array operations, linear algebra, and mathematical functions.
Why this server?
Allows analyzing the usage of the NumPy Python library and generating minimal stub code to reduce executable size in Python exe builds.
Why this server?
Allows retrieval and AI-powered summarization of NumPy documentation, as shown in the usage examples.
Why this server?
Provides mathematical computation capabilities including array operations, statistics, aggregations, and transformations for numerical data processing.
Why this server?
Leverages NumPy for numerical operations when processing Formula One racing data and statistics
Why this server?
Utilizes NumPy as a dependency for working with numerical data in Formula One racing statistics and telemetry analysis.