Can I run the server locally?

Yes, by changing NETWORKLYTICS_API_URL to a local server address, you can use it in a local environment.

Which AI clients support this MCP server?

It supports MCP clients like Claude Desktop and Cursor.

What data does the analysis response include?

It includes video info, network metrics, sentiment ratios, top influencers, topic keywords, and AI insights.

Is the public NetworkLytics server currently operational?

No, the public NetworkLytics server is currently suspended.

Networklytics MCP

youtubesocial-network-analysissentiment-analysismcpcommunity-detection

MCP server providing YouTube comment social network analysis with influencer ranking, community detection, and sentiment data.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "leekangbum-networklytics-mcp": {
      "command": "uvx",
      "args": [
        "networklytics-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

This MCP server offers access to YouTube comment social network analysis, including influencer centrality ranking, Louvain community detection, and sentiment analysis. It provides a public JSON API for AI agents to query analysis results by shared link token or analysis ID. Use this server when you need structured insights from YouTube comment networks integrated into AI tools supporting MCP.

Use cases

Retrieve social network analysis results from a shared YouTube comment link

Identify top influencers in YouTube comment communities

Analyze sentiment trends in YouTube channel comment communities

Fetch detailed network metrics like node count and community count

Integrate YouTube comment social analytics into AI agent workflows

Key features

Influencer centrality ranking based on comment network

Community detection using Louvain algorithm

Sentiment analysis of YouTube comments

Public JSON API with shared link and ID-based queries

API info and endpoint discovery tools

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Networklytics MCP.

Extracted Tool Capabilities

Influencer centrality ranking based on comment network

Community detection using Louvain algorithm

Sentiment analysis of YouTube comments

Public JSON API with shared link and ID-based queries

API info and endpoint discovery tools

Documentation Overview

⚠️ 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

Terminal

pip install networklytics-mcp

Claude Desktop 설정

~/.claude/claude_desktop_config.json 또는 %APPDATA%\Claude\claude_desktop_config.json에 추가:

config.json

{
  "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
`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

config.json

{
  "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": { ... }
}

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

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Last commit

3mo ago

Most recent push to the default branch.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Networklytics MCP

API key is required for analysis queries by ID but not for queries using shared link tokens.

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Technical Specs & Signals

CategoryData Platforms

PricingFreemium

45Quality signal: Fair · 45/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity1/15

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Scanned 23d ago via OSV.dev · networklytics-mcp (PyPI)

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Overview

Use cases

Retrieve social network analysis results from a shared YouTube comment link

Identify top influencers in YouTube comment communities

Analyze sentiment trends in YouTube channel comment communities

Fetch detailed network metrics like node count and community count

Integrate YouTube comment social analytics into AI agent workflows

Key features

Influencer centrality ranking based on comment network

Community detection using Louvain algorithm

Sentiment analysis of YouTube comments

Public JSON API with shared link and ID-based queries

API info and endpoint discovery tools

Documentation Overview

⚠️ 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

Terminal

pip install networklytics-mcp

Claude Desktop 설정

~/.claude/claude_desktop_config.json 또는 %APPDATA%\Claude\claude_desktop_config.json에 추가:

config.json

{
  "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
`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

config.json

{
  "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": { ... }
}

Frequently Asked Questions about Networklytics MCP

API key is required for analysis queries by ID but not for queries using shared link tokens.