# mcp-server-mcsa

> Use this tool when you need to predict and prevent electric motor failures by analyzing stator current signals to detect faults. It solves problems related to motor maintenance, reducing downtime and increasing overall system reliability. The tool takes stator current signals as input and outputs fault detection results, making it ideal for use in industrial settings where predictive maintenance is crucial.

Canonical page: https://skillsregistry.net/skills/lgdimaggio-mcp-motor-current-signature-analysis  
JSON: https://api.skillsregistry.net/v1/skills/lgdimaggio-mcp-motor-current-signature-analysis

## Description

Enables predictive maintenance for electric motors by analyzing stator current signals to detect faults like broken rotor bars, bearing defects, and eccentricity, using spectral and envelope analysis techniques.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dfz05u4950)
- **Repository:** <https://github.com/LGDiMaggio/mcp-motor-current-signature-analysis>

## 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-mcp-motor-current-signature-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lgdimaggio-mcp-motor-current-signature-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lgdimaggio-mcp-motor-current-signature-analysis/pull`

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