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Motor Current Signature Analysis MCP server

by LGDiMaggio·io.github.LGDiMaggio/mcp-server-mcsa·v0.2.1·9 stars
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MCP server for Motor Current Signature Analysis — fault detection in electric motors

B82/100grade B
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B82/100

full report

Adoption
Growing

9 stars34 downloads/wk

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Motor Current Signature Analysis tools (21, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • calculate_motor_params

    Calculate motor operating parameters from nameplate and measured data.

  • clear_stored_datawrite action

    Delete stored signals and spectra from disk and memory.

  • compute_band_energy

    Compute the integrated spectral energy in a frequency band.

  • compute_bearing_frequencies

    Calculate bearing characteristic defect frequencies (BPFO, BPFI, BSF, FTF).

  • compute_envelope_spectrum

    Compute the envelope spectrum of a current signal.

  • compute_fault_frequencies

    Calculate expected fault frequencies for common induction-motor faults.

  • compute_power_spectral_density

    Compute Power Spectral Density using Welch's method.

  • compute_spectrum

    Compute the single-sided amplitude spectrum (FFT) of a current signal.

  • compute_time_frequency

    Compute Short-Time Fourier Transform (STFT) for time-frequency analysis.

  • detect_bearing_faults

    Detect bearing defect signatures in the stator-current spectrum.

  • detect_broken_rotor_bars

    Detect broken rotor bar faults from current spectrum.

  • detect_eccentricity

    Detect air-gap eccentricity faults from current spectrum.

  • detect_stator_faults

    Detect stator inter-turn short circuit faults from current spectrum.

  • diagnose_from_file

    Load a signal from file and run the full MCSA diagnostic pipeline.

  • find_spectrum_peaks

    Detect peaks in a frequency spectrum.

  • generate_test_current_signal

    Generate a synthetic motor-current test signal.

  • inspect_signal_file

    Inspect a signal file without fully loading it.

  • list_stored_data

    List all signals and spectra currently stored on disk.

  • load_signal_from_file

    Load a motor-current signal from a file (CSV, WAV, or NumPy NPY).

  • preprocess_signal

    Preprocess a stator-current signal for spectral analysis.

  • run_full_diagnosiswrite action

    Run a comprehensive MCSA diagnostic analysis on a current signal.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan15 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 122 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Motor Current Signature Analysis compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 63% of 48,255 servers
Tools
21
the typical server has 7
Tools that change things
10%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
9
more than 87% of 28,688 servers
Downloads a week
34
more than 23% of 12,191 servers with a package

What its tools let an agent do: 18 read · 1 create · 1 change · 1 run or deploy

Install Motor Current Signature Analysis in Claude Code, Cursor or VS Code

claude mcp add mcp-server-mcsa -- uvx mcp-server-mcsa
Add to Cursor

What the publisher says

From the Motor Current Signature Analysis repository's README, as published. We do not edit it. Read it on GitHub

mcp-server-mcsa

<!-- mcp-name: io.github.LGDiMaggio/mcp-server-mcsa -->

A Model Context Protocol (MCP) server for Motor Current Signature Analysis (MCSA) — non-invasive spectral analysis and fault detection in electric motors using stator-current signals.

mcp-server-mcsa turns any LLM into a predictive-maintenance expert. By integrating advanced techniques such as Fast Fourier Transform (FFT) and envelope analysis, the system can listen to a motor's electrical signature and automatically identify mechanical and electrical anomalies — all through natural language.

MCSA is an industry-standard condition-monitoring technique that analyses the harmonic content of the stator current to detect rotor, stator, bearing, and air-gap faults in electric motors — without requiring vibration sensors, downtime, or physical access to the machine. This server brings the full MCSA diagnostic workflow to any MCP-compatible AI assistant (Claude Desktop, VS Code Copilot, and others), enabling both interactive expert analysis and automated condition-monitoring pipelines.

Features

  • Real signal loading — read measured data from CSV, TSV, WAV, and NumPy .npy files
  • Motor parameter calculation — slip, synchronous speed, rotor frequency from nameplate data
  • Fault frequency computation — broken rotor bars, eccentricity, stator faults, mixed eccentricity
  • Bearing defect frequencies — BPFO, BPFI, BSF, FTF from bearing geometry
  • Signal preprocessing — DC removal, normalisation, windowing, bandpass/notch filtering
  • Spectral analysis — FFT spectrum, Welch PSD, spectral peak detection
  • Envelope analysis — Hilbert-transform demodulation for mechanical/bearing faults
  • Time-frequency analysis — STFT with frequency tracking for non-stationary conditions
  • Fault detection — automated severity classification (healthy / incipient / moderate / severe)
  • One-shot diagnostics — full pipeline from signal array or directly from file
  • Test signal generation — synthetic signals with configurable fault injection for demos and benchmarking
  • Persistent data store — signals and spectra saved to ~/.mcsadata/ as compressed .npz files; referenced by short IDs (sigxxxx, spec_xxxx) to keep large arrays out of the chat context; data survives server restarts

Tools (21)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Motor Current Signature Analysis: common questions

Is Motor Current Signature Analysis MCP server safe?
Mostly: it is graded B (82/100). Read the Motor Current Signature Analysis safety report
How do I install Motor Current Signature Analysis?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Motor Current Signature Analysis need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Motor Current Signature Analysis maintained?
The last commit was 159 days ago (2026-05-29). The latest release is v0.2.1.
How does Motor Current Signature Analysis compare with other MCP servers?
safety score 82/100 (higher than 63% of 48,255 servers); tools 21 (the typical server has 7); tools that change things 10% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.