# AnomalyArmor

> Use this tool when you need to monitor and protect your data pipelines from errors and inconsistencies. AnomalyArmor provides real-time alerts, data freshness checks, schema drift detection, lineage tracking, and quality monitoring to identify and resolve data issues. It is ideal for engineering teams seeking to ensure data reliability and integrity in their systems and applications.

Canonical page: https://skillsregistry.net/skills/ai-anomalyarmor-armor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-anomalyarmor-armor-mcp

## Description

Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.6.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-20

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.anomalyarmor%2Farmor-mcp)
- **Repository:** <https://github.com/anomalyarmor/agents>

## Use it

MCP endpoint published by the skill: `https://mcp.anomalyarmor.ai/mcp`

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": "ai-anomalyarmor-armor-mcp"
    }
  }
}
```

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