MCP Server
github.comKey Features
Tech Stack
Key Features
Tech Stack
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
Quick try: - git clone 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.
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