NetworkLytics MCP (Model Context Protocol) 服务器。
您可以在 Claude Desktop、Cursor 等支持 MCP 的 AI 工具中直接查询 YouTube 评论网络分析结果。
pip install networklytics-mcpRelated MCP server: vidlens-mcp
添加到 ~/.claude/claude_desktop_config.json 或 %APPDATA%\Claude\claude_desktop_config.json：
{
"mcpServers": {
"networklytics": {
"command": "networklytics-mcp",
"env": {
"NETWORKLYTICS_API_URL": "https://networklytics.com",
"NETWORKLYTICS_API_KEY": "nly_your_api_key_here"
}
}
}
}API 密钥可在 NetworkLytics 账户设置页面获取。
您可以在 Claude 中进行如下请求：
"显示此共享链接的分析结果：https://networklytics.com/shared/abc-123-..."
"从分析结果中找出 3 位核心影响力者"
"这个 YouTube 频道评论社区的情感趋势如何？"
工具 | 说明 | 认证 |
| 通过共享链接令牌查询分析结果 | 无需 |
| 通过分析 ID 查询结果 | 需要 API 密钥 |
| API 信息及端点列表 | 无需 |
{
"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": { ... }
}Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Social media analytics, post insights, and competitor benchmarking for AI agents.
Unified social-media data across 10 networks: profiles, posts, search, comments, cross-search.
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