# @argosvix/mcp-server

> @argosvix/mcp-server — argosvix-mcp-server. Use this tool when you need to manage and operate large language model (LLM) observability data directly from conversations. It solves problems related to cost analysis, alerting, anomaly detection, and runtime control by providing 87 tools for AI agents to query and control their data. Ideal for use cases requiring real-time data management and automation, with inputs including conversation data and outputs including actionable insights and controlled responses.

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

## Description

Lets AI agents query, manage, and operate their LLM observability data directly from the conversation. Provides 87 tools for cost analysis, alerting, anomaly detection, and runtime control gates.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kjtvf3bqhw)
- **Repository:** <https://github.com/argosvix/mcp-server>

## 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": "argosvix-mcp-server"
    }
  }
}
```

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