networklytics-mcp
Provides tools for analyzing YouTube comment networks, including retrieving analysis results by shared links or analysis IDs, identifying key influencers, and examining community sentiment trends in YouTube comment sections.
⚠️ 서비스 운영 중단 안내 현재 NetworkLytics 서버가 운영 중단 상태입니다.
NETWORKLYTICS_API_URL을 로컬 서버 주소로 변경하면 로컬 환경에서는 사용 가능합니다.
networklytics-mcp
NetworkLytics MCP (Model Context Protocol) server.
Claude Desktop, Cursor 등 MCP 지원 AI 도구에서 YouTube 댓글 네트워크 분석 결과를 직접 조회할 수 있습니다.
설치
pip install networklytics-mcpRelated MCP server: vidlens-mcp
Claude Desktop 설정
~/.claude/claude_desktop_config.json 또는 %APPDATA%\Claude\claude_desktop_config.json에 추가:
{
"mcpServers": {
"networklytics": {
"command": "networklytics-mcp",
"env": {
"NETWORKLYTICS_API_URL": "https://networklytics.net",
"NETWORKLYTICS_API_KEY": "nly_your_api_key_here"
}
}
}
}API 키는 NetworkLytics 계정 설정 페이지에서 발급받을 수 있습니다.
사용 예시
Claude에서 다음과 같이 요청할 수 있습니다:
"이 공유 링크 분석 결과를 보여줘: https://networklytics.net/shared/abc-123-..."
"분석 결과에서 핵심 인플루언서 3명을 찾아줘"
"이 YouTube 채널 댓글 커뮤니티의 감성 트렌드는 어때?"
제공 도구 (Tools)
Tool | 설명 | 인증 |
| 공유 링크 토큰으로 분석 결과 조회 | 불필요 |
| 분석 ID로 결과 조회 | API 키 필요 |
| API 정보 및 엔드포인트 목록 | 불필요 |
반환 데이터 구조
{
"video": { "title": "...", "channel": "...", "view_count": 123456 },
"network": {
"total_nodes": 1500,
"total_edges": 3200,
"density": 0.003,
"community_count": 7
},
"sentiment": {
"positive_ratio": 0.62,
"negative_ratio": 0.15,
"overall": "positive"
},
"top_influencers": [
{ "author": "username", "degree_centrality": 0.12, "comment_count": 45 }
],
"topic_keywords": ["키워드1", "키워드2"],
"ai_insights": { ... }
}Maintenance
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