LGDiMaggio/predictive-maintenance-mcp
View on GitHub ↗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