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Show HN: MCP server for vibration-based predictive maintenance
- JojoFatsani 10mo agoThis is probably the AI we need in cars instead of the one that will tell you Taylor Swift’s shoe size.
- lgdimaggio 10mo agoThanks, that’s exactly the intent. Automotive would be interesting, but it would need real-time constraints. Happy to get feedback on what signals would be most valuable
- lgdimaggio 10mo agoHi 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.