# Equipment Health MCP Server

> Use this tool when you need to monitor and analyze manufacturing equipment health in real-time, or troubleshoot issues using natural language queries. It solves problems related to equipment maintenance, anomaly detection, and status monitoring, providing insights through the Model Context Protocol (MCP) interface. The tool accepts natural language inputs and outputs equipment status, maintenance schedules, and anomaly alerts, making it ideal for manufacturing and maintenance teams.

Canonical page: https://skillsregistry.net/skills/aankitpaudel-equipment-health-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aankitpaudel-equipment-health-mcp

## Description

An AI agent system that monitors manufacturing equipment health using the Model Context Protocol (MCP). Enables answering natural language questions about equipment status, maintenance, and anomalies through MCP tools.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/trlmjotnyx)
- **Repository:** <https://github.com/AankitPaudel/Equipment-Health-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": "aankitpaudel-equipment-health-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aankitpaudel-equipment-health-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aankitpaudel-equipment-health-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