Industrial-grade predictive maintenance skills, agents, and workflows for the predictive-maintenance-mcp server. Provides domain expertise for vibration analysis, bearing/gear fault diagnosis, anomaly detection, ISO 20816-3 compliance, and diagnostic report generation.
MCP server "predictive-maintenance" as configured in LGDiMaggio/predictive-maintenance-mcp. Launched with ${workspaceFolder}/.venv/Scripts/python.exe -m predictive_maintenance_mcp.
MCP server for Motor Current Signature Analysis (MCSA) — spectral analysis, fault frequency calculation, and fault detection in electric motors. Runs locally from the mcp-server-mcsa Python package.
★not rated 9 4mo agoA
tokens not measured
originalMIT
WHAT: Connects to the STEVAL-STWINBX1 sensor board to acquire vibration data, configure MEMS sensors, and establish baseline vibration profiles for rotating machinery. WHEN: Use when the user wants to start monitoring a machine, acquire vibration data from the STWIN.box, configure sensor parameters, set up data…
WHAT: Generates structured diagnostic reports for machine operators and maintenance technicians, summarizing vibration analysis results with severity levels, fault findings, and actionable maintenance recommendations in clear, non-technical language. WHEN: Use when the user asks to create a report, generate a…
WHAT: Performs multi-step vibration analysis to diagnose rotating machinery faults including unbalance, misalignment, bearing defects, and mechanical looseness using FFT, envelope analysis, and bearing fault-frequency calculations. WHEN: Use when the user has vibration data (live from STWIN.box or from a file) and…