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519,350 tools. Updated 2026-09-06 07:28

"NumPy" matching MCP tools:

  • Convert a Python list into a NumPy array, optionally specifying the data type for numerical operations.
    MIT
  • Generate random samples from NumPy distributions by specifying distribution type, parameters, size, and dimensions.
    -
  • Scaffold a Script CHOP/DAT/SOP/TOP with an onCook stub and optional custom parameters, including the companion callbacks DAT.
    MIT
    Destructive
  • Generate documentation comments (docstrings) for functions, classes, or modules in Google, NumPy, Sphinx, or JSDoc style.
    MIT
  • Install the MNE-Python analysis backend on demand to enable all MNE tools without a restart. Select from ica, analysis, or full profiles.
    MIT

Matching MCP Servers

  • A
    license
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    quality
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    maintenance
    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.
    72
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that provides mathematical calculations and operations using NumPy, enabling users to perform numerical computations like matrix operations, statistical analysis, and polynomial fitting directly through Claude.
    3
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  • Capture time-domain waveform data from a selected channel, arm the scope if stopped, and save as .npz file for offline analysis. Returns file path and metadata; load with numpy for plotting or export.
    AGPL 3.0
  • Capture multiple oscilloscope channels atomically from a single snapshot and save synchronized time-domain waveforms to a .npz file for cross-channel analysis and plotting.
    AGPL 3.0
  • Read decoded serial data from the scope's SerialDecode subsystem and export to a .npz file. Compatible with UART, I2C, SPI, CAN, and other serial protocols. Returns file path and metadata.
    AGPL 3.0
  • Scan Python dependency manifests for arm64 compatibility issues, flagging packages without arm64 wheels and recommending workarounds for smoother deployment on Arm64 servers.
    Apache 2.0
  • Load a motor-current signal from CSV, WAV, or NPY files. Returns signal, sampling frequency, and metadata for further analysis like preprocess_signal or compute_spectrum.
    MIT
  • Analyzes audio or video files to extract tempo, energy rhythm, and loudness dynamics for editing and content analysis. Distinguishes music from speech.
    MIT
  • Execute Python or JavaScript in a secure, isolated sandbox to test code, verify calculations, or transform data, and receive stdout/stderr output.
    MIT
  • Check which Python third-party libraries are installed on the device before importing them in scripts. Lists packages available in the AScript App environment.
    MIT
  • Transcribe audio files or live mic recordings offline with faster-whisper. Capture results as ideas, journal entries, or notes while keeping all data on your machine.
    AGPL 3.0
  • Run a Monte Carlo simulation to forecast trading card price ranges and risk metrics using real market data.
    Business Source 1.1
  • Submit a Python function for remote execution on a Globus Compute endpoint and receive a task ID for asynchronous tracking.
    MIT
  • Analyze pixel data of a TouchDesigner TOP node without transferring the full image. Run server-side numpy analysis for histograms, luminance, alpha coverage, dominant color, or region differences.
    MIT
  • Run custom Python code to inspect, validate, report on, and export IFC/BIM files, or create new ones.
    Apache 2.0