Predictive Maintenance

Predictive Maintenance MCP Server is an open-source platform that enables large language models (LLMs) and AI assistants to analyze vibration data, detect machinery and bearing faults, perform condition monitoring, and generate comprehensive diagnostics and maintenance reports through natural conversation. Designed for engineers and industrial AI teams, it offers 52 MCP endpoints (tools, resources, and prompts) for everything from signal acquisition to advanced fault diagnosis, anomaly detection, ISO-compliance checks, prognostics (remaining useful life estimation), and interactive reporting. It integrates with local tools and infrastructure, keeps data on-premises, and is compatible with platforms like Claude, Cursor, Windsurf, and local LLMs, making it ideal for industrial IoT, asset management, and predictive maintenance workflows.