# Octopus LLM Gateway

> Use this tool when you need to manage and optimize a self-hosted large language model (LLM) API gateway, solving problems such as channel management, cost control, and usage monitoring. It provides a comprehensive interface for provisioning API keys, configuring model pricing, and tracking usage statistics through daily, hourly, and aggregate reports. With support for load-balanced model groups and custom pricing, it streamlines LLM deployment and maintenance.

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

## Description

Provides comprehensive management of a self-hosted Octopus LLM API gateway through 30+ tools. Supports channel management, API key provisioning with cost limits, load-balanced model groups with multiple strategies, custom model pricing configuration, and usage statistics monitoring including daily, hourly, and aggregate reports.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ximilalaxiang-octopus-llm-gateway)
- **Repository:** <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-llm-gateway"
    }
  }
}
```

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