LGDiMaggio/predictive-maintenance-mcp
AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.
Implements 48 MCP endpoints organized around ISO 13374's six-block diagnostic architecture, enabling LLMs to perform vibration analysis, FFT spectrum processing, envelope demodulation, and bearing fault detection on local sensor data without exposing raw signals. Built on FastMCP and deployed as an HTTPS server with stdio/SSE transport options, it includes a Claude Code plugin with 7 domain skills and integrates ML-based anomaly detection, RAG-enabled equipment manual search, and automated ISO 20816-3 compliance reporting.
Used by 1 other package. Available on PyPI.
Stars
19
Forks
2
Language
Python
License
—
Category
Last pushed
Mar 11, 2026
Monthly downloads
704
Commits (30d)
0
Dependencies
8
Reverse dependents
1
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