LGDiMaggio/predictive-maintenance-mcp

Overview

MCP server for predictive maintenance and machinery fault diagnosis. Provides AI assistants with evidence-based vibration analysis including FFT, envelope, bearing fault detection, and ISO 20816-3 severity classification. Local-first design ensures raw signals never leave the machine. Includes a Claude Code plugin.

Best for

Best for
Developers building AI maintenance assistants that need on-premise vibration analysis

Use cases

• Diagnose bearing faults from vibration data
• Incorporate ISO 20816-3 severity checks into maintenance workflows
• Deploy a local-first MCP server for AI-driven predictive maintenance

How to use

Install

pip install predictive-maintenance-mcp

Tested with

Claude Desktop, Claude Code, VS Code, ChatGPT

Notes

MCP server for predictive maintenance and machinery fault diagnosis. Provides AI assistants with evidence-based vibration analysis including FFT, envelope, bearing fault detection, and ISO 20816-3 severity classification. Local-first design ensures raw signals never leave the machine. Includes a Claude Code plugin.

88 stars on GitHub. Last updated 2026-09-17.

Use cases

• Diagnose bearing faults from vibration data
• Incorporate ISO 20816-3 severity checks into maintenance workflows
• Deploy a local-first MCP server for AI-driven predictive maintenance

Pros

• Open source with 88 stars and active development
• Local-first design keeps sensitive vibration data on-premise
• Includes a Claude Code plugin for easy integration

Cons

• Limited to vibration-based analysis, not other sensor modalities
• Blind CWRU benchmark may not cover all real-world conditions
• Python-specific, requires Python environment

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.