
Evidence-based vibration diagnostics and predictive maintenance AI.
Visit Predictive MaintenancePredictive 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.
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Comprehensive guides and API references for implementing and using Predictive Maintenance MCP.
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Step-by-step instructions for setting up and using the Predictive Maintenance MCP.