# mcp-victoriametrics

> mcp-victoriametrics — victoriametrics-mcp-victoriametrics. Use this tool when you need to implement the Model Context Protocol (MCP) server for VictoriaMetrics, solving issues related to model management and monitoring. It provides an interface for managing model contexts, accepting inputs from various sources and outputting relevant data for further analysis. Ideal for use cases involving model performance tracking and optimization in machine learning workflows.

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

## Description

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

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** monitoring
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/VictoriaMetrics/mcp-victoriametrics)

## 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-victoriametrics"
    }
  }
}
```

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