# ytdl-rmcp

> ytdl-rmcp — dinglebear-ai-rytdl. Use this tool when you need to search and download media from various sources, and automatically embed metadata and cover art. It solves problems of media management by allowing users to deliver downloaded content to local, SSH, rclone, or Plex targets. The tool takes media queries as input and outputs downloaded media files with embedded metadata and cover art.

Canonical page: https://skillsregistry.net/skills/dinglebear-ai-rytdl  
JSON: https://api.skillsregistry.net/v1/skills/dinglebear-ai-rytdl

## Description

MCP server and CLI for yt-dlp to search and download media, embed metadata and cover art, and deliver to local, SSH, rclone, or Plex targets.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ohlys4hd8i)
- **Repository:** <https://github.com/dinglebear-ai/rytdl>

## 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": "dinglebear-ai-rytdl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dinglebear-ai-rytdl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dinglebear-ai-rytdl/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