# Mediabox

> Use this tool when you need to manage and automate media libraries, downloads, and streaming across multiple platforms. Mediabox solves problems related to media organization, download management, and automation by integrating various tools and services, providing a comprehensive media management stack. It accepts inputs via Streamable HTTP and outputs controlled media management, ideal for use in home media servers, automation scripts, or AI-powered media assistants.

Canonical page: https://skillsregistry.net/skills/gh-juancmpdev-mediabox  
JSON: https://api.skillsregistry.net/v1/skills/gh-juancmpdev-mediabox

## Description

A self-hosted MCP server that gives AI assistants control over a full media management stack. Integrates Jellyfin, Sonarr, Radarr, qBittorrent, PyLoad, Prowlarr, and FlareSolverr through 25 tools covering library browsing, download management, and automation. Runs via Docker and communicates over Streamable HTTP on a configurable port.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-juancmpdev-mediabox)
- **Repository:** <https://github.com/juancmpdev/mediabox-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": "gh-juancmpdev-mediabox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-juancmpdev-mediabox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-juancmpdev-mediabox/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