# asset-health-mcp

> asset-health-mcp — yamylemerleremond-asset-health-mcp. Use this tool when you need to validate the quality of asset health data and detect anomalies to inform maintenance decisions. It solves problems related to data reliability and technician dispatch optimization by providing anomaly scores and data-quality assessments. The tool accepts asset health data as input and outputs trustworthiness scores to guide AI-driven decision-making.

Canonical page: https://skillsregistry.net/skills/yamylemerleremond-asset-health-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yamylemerleremond-asset-health-mcp

## Description

Provides data-quality validation and anomaly scoring tools so an AI agent can decide whether to dispatch a field technician, while refusing to act on untrusted data.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/njdqfo9355)
- **Repository:** <https://github.com/yamylemerleremond/asset-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": "yamylemerleremond-asset-health-mcp"
    }
  }
}
```

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