Predictive Maintenance

Predictive Maintenance

Evidence-based vibration diagnostics and predictive maintenance AI.

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About Predictive Maintenance

Predictive Maintenance is an open-source MCP server designed for reliability and maintenance engineers as well as AI/MCP developers. It transforms large language models into rigorous, evidence-backed condition monitoring assistants for rotating machinery. The tool facilitates vibration diagnostics, machinery fault detection, and ISO-cited severity assessments while generating diagnostic reports that support and accelerate expert decision-making. It strongly avoids guesswork, always requiring spectral evidence for any diagnosis, and integrates seamlessly with tools like Claude Code, supporting plain-language diagnostics and interactive reporting.

Pricing Plans
Open Source
$0

Resources

Product Website

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Documentation

Comprehensive guides and API references for implementing and using Predictive Maintenance MCP.

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Community Forum

Engage with other users and contributors to share experiences and seek support.

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Getting Started Guide

Step-by-step instructions for setting up and using the Predictive Maintenance MCP.

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