Is Mcp Youtube Intelligence safe to use?

Mcp Youtube Intelligence has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under Apache-2.0.

How do I install Mcp Youtube Intelligence?

Mcp Youtube Intelligence supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with Mcp Youtube Intelligence?

Mcp Youtube Intelligence is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is Mcp Youtube Intelligence actively maintained?

Mcp Youtube Intelligence is less actively maintained — last commit was 98 days ago. It has 45 GitHub stars.

Mcp Youtube Intelligence

Name: Mcp Youtube Intelligence
Author: JangHyuckYun

mcp-youtube-intelligence · by JangHyuckYun

MCP server for YouTube transcript extraction, channel monitoring, and content intelligence

45 0 tools GitHub PyPI

No known CVEs

Apache-2.0 license

Maintained

Last commit 98d ago

Works with most clients

Transport: stdio, http

0 tools

Grade F

Edit this pageView history

Entertainment Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/mcp-youtube-intelligence)](https://mcppedia.org/s/mcp-youtube-intelligence)

Read me

What Mcp Youtube Intelligence does

YouTube 영상을 지능적으로 분석하는 MCP 서버 + CLI > MCP (Model Context Protocol)는 Claude, Cursor 같은 AI 도구가 외부 서비스를 사용할 수 있게 해주는 표준 프로토콜입니다. 이 서버를 연결하면 "이 영상 요약해줘" 한마디로 분석이 완료됩니다.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'mcp-youtube-intelligence' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

52/100across 5 weighted dimensions

How we score →

0255075100

−48

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked mcp-youtube-intelligence against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Mcp Youtube Intelligence safe to use?: Mcp Youtube Intelligence has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under Apache-2.0.
How do I install Mcp Youtube Intelligence?: Mcp Youtube Intelligence supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with Mcp Youtube Intelligence?: Mcp Youtube Intelligence is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is Mcp Youtube Intelligence actively maintained?: Mcp Youtube Intelligence is less actively maintained — last commit was 98 days ago. It has 45 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Entertainment Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/mcp-youtube-intelligence)](https://mcppedia.org/s/mcp-youtube-intelligence)

Read me

What Mcp Youtube Intelligence does

YouTube 영상을 지능적으로 분석하는 MCP 서버 + CLI > MCP (Model Context Protocol)는 Claude, Cursor 같은 AI 도구가 외부 서비스를 사용할 수 있게 해주는 표준 프로토콜입니다. 이 서버를 연결하면 "이 영상 요약해줘" 한마디로 분석이 완료됩니다.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'mcp-youtube-intelligence' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

🌐 English | 한국어

MCP YouTube Intelligence

YouTube 영상을 지능적으로 분석하는 MCP 서버 + CLI

MCP (Model Context Protocol)는 Claude, Cursor 같은 AI 도구가 외부 서비스를 사용할 수 있게 해주는 표준 프로토콜입니다. 이 서버를 연결하면 "이 영상 요약해줘" 한마디로 분석이 완료됩니다.

🎯 핵심 가치: 원본 자막(2,000~30,000 토큰)을 서버에서 처리하여 LLM에는 ~200–500 토큰만 전달합니다.

🤔 왜 이 서버인가?

대부분의 YouTube MCP 서버는 원본 자막을 그대로 LLM에 던집니다.

기능	기존 MCP 서버	MCP YouTube Intelligence
자막 추출	✅	✅
서버사이드 요약 (토큰 최적화)	❌	✅
구조화된 리포트 (요약+토픽+엔티티+댓글)	❌	✅
채널 모니터링 (RSS)	❌	✅
댓글 감성 분석	❌	✅
토픽 세그멘테이션	❌	✅
엔티티 추출 (한/영 200+개)	❌	✅
자막/YouTube 검색	❌	✅
배치 처리	❌	✅
SQLite/PostgreSQL 캐시	❌	✅

🚀 빠른 시작

1. 설치

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

💡 LLM 없이도 기본 요약(핵심 문장 추출)은 동작합니다. 고품질 요약을 원하면 아래 LLM 설정을 참고하세요.

2. 첫 번째 명령어 실행

# 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

⚠️ zsh 사용자: URL에 ?가 있으므로 반드시 따옴표로 감싸세요.

📋 리포트 출력 예시

mcp-yt report "https://www.youtube.com/watch?v=LV6Juz0xcrY" 실행 결과 (extractive 요약):

# 📹 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...

📖 CLI 전체 명령어

📊 리포트 (핵심 기능)

⚠️ **리포트의 요약 섹션은 LLM 연동이 필수입니다. Ollama 빠른 설정 (무료, 3분이면 끝):

# 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

# 원격 서버라면 호스트도 지정
export MYI_OLLAMA_BASE_URL=http://your-server:11434

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

🎯 자막 추출 + 요약


... [View full README on GitHub](https://github.com/JangHyuckYun/mcp-youtube-intelligence#readme)

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

52/100across 5 weighted dimensions

How we score →

0255075100

−48

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked mcp-youtube-intelligence against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Mcp Youtube Intelligence safe to use?: Mcp Youtube Intelligence has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under Apache-2.0.
How do I install Mcp Youtube Intelligence?: Mcp Youtube Intelligence supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with Mcp Youtube Intelligence?: Mcp Youtube Intelligence is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is Mcp Youtube Intelligence actively maintained?: Mcp Youtube Intelligence is less actively maintained — last commit was 98 days ago. It has 45 GitHub stars.