# octopus-mcp

> octopus-mcp — ximilalaxiang-octopus-mcp. Use this tool when you need to manage large language model (LLM) gateways, particularly for tasks like channel management, API key handling, and usage tracking. It solves problems related to LLM infrastructure management, providing a centralized server for model pricing and statistics. The octopus-mcp tool accepts inputs via API and Docker interfaces, outputting usage stats and model performance data.

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

## Description

MCP server for Octopus LLM gateway — manage channels, API keys, model pricing, and usage stats via AI. Go-based, Docker-ready

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-21

## Source

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

## 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": "ximilalaxiang-octopus-mcp"
    }
  }
}
```

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