pip install mcp-youtube-intelligence
pip install yt-dlp  # 자막 추출에 필요

# 리포트 생성 — 요약, 토픽, 엔티티, 댓글을 한번에 분석 (LLM 연동필요)
mcp-yt report "https://www.youtube.com/watch?v=LV6Juz0xcrY"

# 자막 요약만
mcp-yt transcript "https://www.youtube.com/watch?v=LV6Juz0xcrY"

# 영상 ID만 써도 됩니다
mcp-yt report LV6Juz0xcrY

# 📹 Video Analysis Report: OpenClaw Use Cases that are Actually Helpful! (ClawdBot)

> Channel: Duncan Rogoff | AI Automation | Duration: 16:29 | Language: en_ytdlp

## 1. Summary

OpenClaw is the most powerful AI agent framework in the world right now and
it's about to replace your entire workflow. I spent over $200 in the last
48 hours stress testing the system so you don't have to. It defines who it
is, how it behaves, and crucial behavioral boundaries. If you think open
claw is cool, just check out this video up here of 63 insane use cases
that other people are doing.

## 2. Key Topics

| # | Topic | Keywords | Timespan |
|---|-------|----------|----------|
| 1 | framework, world, right | framework, world, right | 0:00~0:05 |
| 2 | like, really, there | like, really, there | 0:05~2:23 |
| 3 | like, max, using | like, max, using | 2:23~4:22 |
| 4 | going, like, something | going, like, something | 4:22~5:03 |
| 5 | like, agents, basically | like, agents, basically | 5:03~6:04 |
| ... | ... | ... | ... |
| 15 | think, open, claw | think, open, claw | 16:24~16:29 |

## 4. Keywords & Entities

- **Technology**: GitHub, LLM, GPT
- **Company**: Anthropic, Apple

## 5. Viewer Reactions

- Total comments: 20
- Sentiment: Positive 45% / Negative 0% / Neutral 55%
- Top opinions:
  - **@geetee2583** (positive, 👍8): Great info. Just need your inset video out of the way...
  - **@bdog4026** (positive, 👍3): This tool is wild! Definitely the most in depth explanation...
  - **@magalyvilela4917** (neutral, 👍3): Came to this video wondering it gonna teach me how to set up...

mcp-yt report "https://youtube.com/watch?v=VIDEO_ID"
mcp-yt report VIDEO_ID --provider ollama     # LLM 프로바이더 지정
mcp-yt report VIDEO_ID --no-comments         # 댓글 제외
mcp-yt report VIDEO_ID -o report.md          # 파일 저장

mcp-yt transcript VIDEO_ID                   # 요약 (~200–500 토큰)
mcp-yt transcript VIDEO_ID --mode full       # 전체 자막
mcp-yt transcript VIDEO_ID --mode chunks     # 청크 분할
mcp-yt --json transcript VIDEO_ID            # JSON 출력

mcp-yt video VIDEO_ID                        # 메타데이터
mcp-yt comments VIDEO_ID --max 20            # 댓글 (감성 분석 포함)
mcp-yt entities VIDEO_ID                     # 엔티티 추출
mcp-yt segments VIDEO_ID                     # 토픽 세그멘테이션
mcp-yt search "키워드" --max 5               # YouTube 검색
mcp-yt monitor subscribe @채널핸들           # 채널 모니터링
mcp-yt playlist PLAYLIST_ID                  # 플레이리스트
mcp-yt batch ID1 ID2 ID3                     # 배치 처리
mcp-yt search-transcripts "키워드"           # 저장된 자막 검색

{
  "mcpServers": {
    "youtube": {
      "command": "uvx",
      "args": ["mcp-youtube-intelligence"],
      "env": {
        "MYI_LLM_PROVIDER": "ollama",
        "MYI_OLLAMA_MODEL": "qwen2.5:7b"
      }
    }
  }
}

claude mcp add youtube -- uvx mcp-youtube-intelligence

# 1. Ollama 설치: https://ollama.ai
# 2. 모델 다운로드
ollama pull qwen2.5:7b

# 3. 환경변수 설정
export MYI_LLM_PROVIDER=ollama
export MYI_OLLAMA_MODEL=qwen2.5:7b

# 4. (선택) 원격 Ollama 서버 사용 시
export MYI_OLLAMA_BASE_URL=http://your-server:11434

# API 키만 설정하면 자동 감지 (MYI_LLM_PROVIDER=auto)
export OPENAI_API_KEY=sk-...          # OpenAI
export ANTHROPIC_API_KEY=sk-ant-...   # Anthropic
export GOOGLE_API_KEY=AIza...         # Google

# 특정 프로바이더 지정
export MYI_LLM_PROVIDER=anthropic

git clone https://github.com/JangHyuckYun/mcp-youtube-intelligence.git
cd mcp-youtube-intelligence
uv sync --extra dev        # 또는 pip install -e ".[dev]"
uv run ruff check src tests
uv run pytest -q