predictive-maintenance-mcp

active

An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. It gives your AI assistant evidence-based vibration diagnostics: machine fault detection, severity assessment and diagnostic reports, for faster predictive maintenance decisions. Also available as a Claude Code plugin.

Code-only MCP server: no hosted endpoint, so you install and run it yourself. It is not probed, graded or counted in our reachability statistics.

Get it

Repository: github.com/LGDiMaggio/predictive-maintenance-mcp
Package: pypi: iflow-mcp_lgdimaggio_predictive-maintenance-mcp
Run (stdio): uvx iflow-mcp_lgdimaggio_predictive-maintenance-mcp
The usual command for this package registry; check the repository README for required settings.
License: MIT
Last update: 2026-11-14
GitHub stars: ★ 114
Homepage: lgdimaggio.github.io/predictive-maintenance-mcp/

ai-agent anomaly-detection bearing-fault-diagnosis claude-agents claude-ai condition-monitoring envelope-analysis fastmcp fault-diagnosis iiot industrial-iot industry-4-0

Listed in

github · source

Run this server as a hosted endpoint? Submit the endpoint and it moves to the remote directory, where it is probed and graded.