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Hi HN, I built an open-source MCP server for vibration-based predictive maintenance. The idea: the LLM handles conversation and orchestration; the server runs
by lgdimaggio 10mo ago
Hi HN, I built an open-source MCP server for vibration-based predictive maintenance.
The idea: the LLM handles conversation and orchestration; the server runs deterministic vibration analysis and writes an interactive local report.
Repo: https://github.com/LGDiMaggio/predictive-maintenance-mcp https://github.com/LGDiMaggio/predictive-maintenance-mcp
Quick try:
- git clone https://github.com/LGDiMaggio/predictive-maintenance-mcp.git https://github.com/LGDiMaggio/predictive-maintenance-mcp.git
- cd predictive-maintenance-mcp
- python setup_venv.py
- python validate_server.py
What’s included:
- real bearing vibration signals (healthy + inner/outer race faults)
- spectrum peak detection + envelope analysis
- ISO 20816-3 severity assessment
- (baseline) anomaly detection like OneClassSVM/LOF
- local HTML reports under reports/
Looking for feedback on: MCP tool design, missing diagnostics to prioritize next, and whether the combo LLM with deterministic tooling is useful in real PdM workflows.