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URL: https://glama.ai/mcp/servers/integrations/numpy

⇱ NumPy | Glama

  • Why this server?

    Retrieves package metadata and documentation for the NumPy library via PyPI integration.

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    A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.
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  • Why this server?

    Leverages NumPy for numerical operations when processing Formula One racing data and statistics

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    A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.
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  • Why this server?

    Utilizes NumPy for numerical calculations involved in celestial positioning and astronomical computations.

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    Calculate the altitude, rise, and set times of celestial objects (Sun, Moon, planets, stars, and deep-space objects) for any location on Earth.
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    12
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  • 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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    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.
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  • 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.

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    Automatically detects packages that can be stubbed during Python exe building and generates minimal stub code to reduce executable size.
    Last updated
    5
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  • Why this server?

    Utilizes NumPy as a dependency for working with numerical data in Formula One racing statistics and telemetry analysis.

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    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
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  • Why this server?

    The MCP server utilizes NumPy for numerical operations in processing weather data.

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    A FastMCP server that provides real-time weather data from KNMI weather stations, allowing users to access temperature, humidity, wind speed, and other weather metrics for any location in the Netherlands through natural language queries.
    Last updated
    4
    4
    MIT

  • Why this server?

    Provides mathematical computation capabilities including array operations, statistics, aggregations, and transformations for numerical data processing.

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    Provides 21 mathematical tools across 6 domains including basic calculations, array operations, statistics, financial mathematics, linear algebra, and calculus. Supports batch execution for complex multi-step workflows with intelligent dependency resolution.
    Last updated
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  • Why this server?

    Fetches official NumPy documentation for array operations, linear algebra, and mathematical functions.

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    Enables managing internal documentation with search and add capabilities, and fetching official documentation from 13+ popular libraries via MCP tools.
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