# AnomalyArmor

> Use this tool when you need to monitor and manage data assets, detect anomalies, and ensure data quality across various domains. AnomalyArmor provides a suite of 52 tools for data observability, offering inputs such as API key connections and outputs including data health metrics, alerts, and AI-powered recommendations. Use it to streamline data management workflows, resolve alerts, and explore data lineage without leaving your workflow.

Canonical page: https://skillsregistry.net/skills/anomalyarmor  
JSON: https://api.skillsregistry.net/v1/skills/anomalyarmor

## Description

AnomalyArmor provides 52 MCP tools for data observability and monitoring, organized by domain including data health, alert management, schema drift detection, freshness tracking, data quality metrics, natural language Q&A, and AI-powered recommendations. Connect Claude Code, Cursor, or any MCP-compatible client to AnomalyArmor's platform to monitor data assets, resolve alerts, and explore data lineage without leaving your workflow. Requires an AnomalyArmor API key.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/anomalyarmor)
- **Repository:** <https://github.com/anomalyarmor/agents>

## 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": "anomalyarmor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anomalyarmor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anomalyarmor/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