Predictive Maintenance

Lets an assistant analyze industrial vibration data for bearing faults, ISO 20816 checks, and ML anomaly detection.

What you can do

This local MCP server exposes tools for industrial vibration analysis. Based on its description, it covers bearing fault diagnosis, assessment against the ISO 20816 vibration standard, and machine-learning anomaly detection on vibration signals. No individual tool names or parameters are published in the available material.

When to use it

Consider it when an assistant needs to help interpret machinery vibration measurements, screen rotating equipment for bearing faults, or check vibration levels against ISO 20816 limits. It is aimed at predictive-maintenance work rather than general data analysis.

Requirements

Runs as a local process on the user's machine, installed from the PyPI package predictive-maintenance-mcp over stdio, so a Python environment is needed. It is desktop only and not available as a web executable. No authentication, environment variables, or headers are declared.