# predictive-maintenance-mcp

> predictive-maintenance-mcp — lgdimaggio-predictive-maintenance-mcp. Use this tool when you need to predict equipment failures and diagnose faults using AI-powered large language models. It solves problems related to maintenance scheduling, downtime reduction, and fault identification by integrating with predictive maintenance and fault diagnosis workflows. The predictive-maintenance-mcp framework takes in equipment data and model configurations as inputs and outputs predictive maintenance schedules and fault diagnoses through the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/lgdimaggio-predictive-maintenance-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lgdimaggio-predictive-maintenance-mcp

## Description

MCP server for predictive maintenance and machinery fault diagnosis. Gives AI assistants evidence-based vibration analysis - FFT, envelope, bearing fault detection, ISO 20816-3 severity - with a measured, blind CWRU benchmark. Local-first: raw signals never leave your machine. Includes a Claude Code plugin.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/LGDiMaggio/predictive-maintenance-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lgdimaggio-predictive-maintenance-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lgdimaggio-predictive-maintenance-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lgdimaggio-predictive-maintenance-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt