# Motor Current Signature Analysis

> Use this tool when you need to detect faults in electric motors, as it analyzes motor current signatures to identify potential issues. It solves problems related to motor maintenance, reliability, and efficiency, providing outputs such as fault diagnostics and recommendations. Inputting motor current data, it outputs detailed analysis and insights to inform maintenance decisions.

Canonical page: https://skillsregistry.net/skills/io-github-lgdimaggio-mcp-server-mcsa  
JSON: https://api.skillsregistry.net/v1/skills/io-github-lgdimaggio-mcp-server-mcsa

## Description

MCP server for Motor Current Signature Analysis — fault detection in electric motors

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-16

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.LGDiMaggio%2Fmcp-server-mcsa)
- **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": "io-github-lgdimaggio-mcp-server-mcsa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-lgdimaggio-mcp-server-mcsa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-lgdimaggio-mcp-server-mcsa/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
