# io.github.VictoriaMetrics/mcp-vmanomaly

> Use this tool when you need to detect anomalies in your metrics data, as it provides a server for VictoriaMetrics' vmanomaly detection, solving problems related to identifying unusual patterns and outliers in time-series data. It takes in metrics data as input and outputs anomaly detection results, enabling proactive monitoring and issue resolution. Ideal for use cases where real-time anomaly detection is crucial, such as monitoring system performance and identifying potential issues before they escalate.

Canonical page: https://skillsregistry.net/skills/io-github-victoriametrics-mcp-vmanomaly  
JSON: https://api.skillsregistry.net/v1/skills/io-github-victoriametrics-mcp-vmanomaly

## Description

MCP Server for vmanomaly - VictoriaMetrics anomaly detection

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.VictoriaMetrics%2Fmcp-vmanomaly)
- **Repository:** <https://github.com/VictoriaMetrics/mcp-vmanomaly>

## 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-victoriametrics-mcp-vmanomaly"
    }
  }
}
```

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

---
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