# downloader-mcp

> downloader-mcp — carldog-downloader-mcp. Use this tool when you need to manage and interact with Usenet and torrent downloads through SABnzbd and qBittorrent APIs. It solves problems of automating download tasks and integrating with these clients, accepting input configurations for each client and outputting registered tools for the configured clients. Ideal for use cases requiring centralized download management and automation, such as media streaming and file sharing applications.

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

## Description

Enables interaction with SABnzbd (usenet) and qBittorrent (torrent) download clients through their APIs. Each client is optional and only tools for configured clients are registered.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ywikjl6oyg)
- **Repository:** <https://github.com/CarlDog/downloader-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": "carldog-downloader-mcp"
    }
  }
}
```

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