# mcp-vmanomaly

> mcp-vmanomaly — victoriametrics-mcp-vmanomaly. Use this tool when you need to implement the Model Context Protocol (MCP) server for VMAnomaly, solving issues related to model management and anomaly detection. It provides a git-based interface for managing model contexts and detecting anomalies, taking in model data as input and outputting anomaly alerts. Ideal for use cases requiring automated model monitoring and anomaly detection in virtualized environments.

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

## Description

The implementation of Model Context Protocol (MCP) server for VMAnomaly

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](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": "victoriametrics-mcp-vmanomaly"
    }
  }
}
```

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