networklytics-mcp

networklytics-mcp

YouTube comment social network analysis (SNA): influencer centrality ranking, community detection (Louvain algorithm), sentiment analysis, and AI-generated insights via public JSON API.

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README

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-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.com",
        "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.com/shared/abc-123-..."
  • "분석 결과에서 핵심 인플루언서 3명을 찾아줘"
  • "이 YouTube 채널 댓글 커뮤니티의 감성 트렌드는 어때?"

제공 도구 (Tools)

Tool 설명 인증
get_shared_analysis 공유 링크 토큰으로 분석 결과 조회 불필요
get_analysis_by_id 분석 ID로 결과 조회 API 키 필요
get_api_info 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": { ... }
}

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