# yt-media-info-mcp

> yt-media-info-mcp — bartivs-yt-media-info-mcp. Use this tool when you need to extract rich metadata from media URLs across various sites or require transcript fetching and search capabilities. It solves problems related to media content analysis, data enrichment, and information retrieval, providing outputs such as title, description, duration, and statistics. This tool is ideal for use cases involving media content processing, data mining, or automated content analysis, accepting media URLs as input and returning detailed metadata and transcripts.

Canonical page: https://skillsregistry.net/skills/bartivs-yt-media-info-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bartivs-yt-media-info-mcp

## Description

An MCP server that extracts rich metadata (title, description, duration, chapters, subtitles, statistics, etc.) from media URLs across thousands of sites using yt-dlp, and also provides transcript fetching and search capabilities.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jeu9ruci0w)
- **Repository:** <https://github.com/bartivs/yt-media-info-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": "bartivs-yt-media-info-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bartivs-yt-media-info-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bartivs-yt-media-info-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