LGDiMaggio/predictive-maintenance-mcp

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MCP server for predictive maintenance and machinery fault diagnosis. Gives AI assistants evidence-based vibration analysis - FFT, envelope, bearing fault detection, ISO 20816-3 severity - with a measured, blind CWRU benchmark. Local-first: raw signals never leave your machine. Includes a Claude Code plugin.

74 ★23 forksPythonUpdated 20d ago

What you need to know

MCP server for predictive maintenance that monitors machine data and predicts failures before they happen.

Install

Configure the server with your machine data sources and add it to an MCP client.

Usage

  • Analyze sensor data and receive predictions and alerts about equipment health.

Key features

  • Machine data analysis
  • Failure prediction
  • Maintenance alerting

Best for

Industrial teams implementing AI-driven equipment monitoring.

Platforms: macOS · Linux

Reviewed 2026-08-11

Topics

ai-agentanomaly-detectionbearing-fault-diagnosisclaude-agentsclaude-aicondition-monitoringenvelope-analysisfastmcpfault-diagnosisiiotindustrial-iotindustry-4-0iso-20816mcpmcp-servermodel-context-protocolpredictive-analyticspredictive-maintenancesignal-processingvibration-analysis
Stars
74★
Forks
23
Language
Python
License
NOASSERTION
Created
2025-11-11
Last push
2026-08-15