# YouTube Intelligence

> Use this tool when you need to analyze YouTube videos, channels, and comments to extract valuable insights, such as metadata, transcripts, and sentiment analysis. It solves problems like information overload and token usage limitations by compressing transcripts and providing automatic fallback to extractive summarization. It takes YouTube video URLs, channel names, or search queries as input and outputs condensed transcripts, analysis reports, and entity extractions, making it ideal for content creators, researchers, and marketers seeking to understand YouTube data.

Canonical page: https://skillsregistry.net/skills/gh-janghyuckyun-youtube-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/gh-janghyuckyun-youtube-intelligence

## Description

Integrates with YouTube through yt-dlp to extract video metadata, transcripts, comments, and channel feeds. Performs server-side processing to reduce token usage, compressing transcripts from thousands of tokens down to 200-500 tokens before passing them to LLM context windows. Supports multiple LLM providers including OpenAI, Anthropic, Google, Ollama, vLLM, and LM Studio, with automatic fallback to extractive summarization when no API keys are configured. Provides nine tools covering video analysis reports, transcript extraction, comment sentiment analysis, entity extraction, topic segmentation, YouTube search, playlist processing, channel monitoring via RSS, and stored transcript search with SQLite or PostgreSQL caching.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-janghyuckyun-youtube-intelligence)
- **Repository:** <https://github.com/janghyuckyun/mcp-youtube-intelligence>

## 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-janghyuckyun-youtube-intelligence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-janghyuckyun-youtube-intelligence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-janghyuckyun-youtube-intelligence/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