Predictive Maintenance
Let agents run vibration-based bearing diagnosis, ISO 20816 checks, and ML anomaly detection for industrial equipment from a PyPI stdio MCP server.
Overview
Predictive Maintenance MCP is an Operate-phase MCP server that delivers vibration analysis, bearing fault diagnosis, ISO 20816 context, and ML anomaly detection for industrial assets.
What is this MCP server?
- Industrial vibration analysis and bearing fault diagnosis exposed via MCP
- ISO 20816-aligned machinery vibration severity context for compliance-minded ops
- ML anomaly detection layer for drifting equipment behavior
- PyPI predictive-maintenance-mcp version 0.8.0 with stdio transport
- Complements MCSA-focused motor server from the same maintainer ecosystem
- Version 0.8.0 on PyPI
- Package identifier predictive-maintenance-mcp
What problem does it solve?
Vibration and bearing diagnostics live in siloed notebooks and vendor tools that coding agents cannot call during incident triage.
Who is it for?
Solo builders shipping industrial monitoring, CMMS integrations, or plant analytics who want agent-ready predictive maintenance primitives.
Skip if: Standard SaaS error pages, marketing sites, or teams without vibration sensor data or rotating-equipment context.
What do I get? / Deliverables
With predictive-maintenance-mcp on stdio, agents can run vibration, ISO 20816, and anomaly workflows inside your maintenance automation.
- MCP-invokable vibration and bearing fault analysis results
- ISO 20816-oriented severity assessments and ML anomaly signals
Recommended MCP Servers
Journey fit
Predictive maintenance sits in Operate because it interprets live or historical machine condition after systems are in production. Monitoring is the right shelf for vibration analytics, bearing fault classification, and anomaly alerts on rotating equipment.
How it compares
Industrial vibration and ML monitoring MCP—not web APM, not Vorim agent audit, not sprite art tooling.
Common Questions / FAQ
Who is Predictive Maintenance MCP for?
Developers building agent-assisted reliability tools who need vibration analysis, bearing faults, ISO 20816, and anomaly detection over MCP.
When should I use Predictive Maintenance MCP?
In Operate when equipment vibration data is available and you want MCP-driven diagnosis, severity checks, or ML anomaly alerts.
How do I add Predictive Maintenance MCP to my agent?
Install predictive-maintenance-mcp from PyPI (0.8.0), add a stdio MCP server definition in your host, and connect your vibration datasets to the server tools.