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.
networklytics-mcp
NetworkLytics MCP (Model Context Protocol) server.
You can directly query YouTube comment network analysis results in MCP-supported AI tools such as Claude Desktop and Cursor.
Installation
pip install networklytics-mcpRelated MCP server: vidlens-mcp
Claude Desktop Configuration
Add to ~/.claude/claude_desktop_config.json or %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"
}
}
}
}You can obtain your API key from the NetworkLytics account settings page.
Usage Examples
You can make requests in Claude such as:
"Show me the analysis results for this shared link: https://networklytics.com/shared/abc-123-..."
"Find the top 3 key influencers from the analysis results"
"What are the sentiment trends in this YouTube channel's comment community?"
Tools
Tool | Description | Authentication |
| Retrieve analysis results using a shared link token | Not required |
| Retrieve results using an analysis ID | API key required |
| API information and list of endpoints | Not required |
Returned Data Structure
{
"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
Resources
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