networklytics-mcp
networklytics-mcp
MCP-сервер (Model Context Protocol) для NetworkLytics.
Позволяет напрямую просматривать результаты анализа сети комментариев YouTube в ИИ-инструментах с поддержкой MCP, таких как Claude Desktop, Cursor и других.
Установка
pip install networklytics-mcpRelated MCP server: vidlens-mcp
Настройка Claude Desktop
Добавьте в ~/.claude/claude_desktop_config.json или %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-ключ можно получить на странице настроек учетной записи NetworkLytics.
Примеры использования
В Claude можно сделать следующие запросы:
"Покажи результаты анализа по этой общей ссылке: https://networklytics.com/shared/abc-123-..."
"Найди 3 ключевых инфлюенсеров в результатах анализа"
"Каков тренд тональности в сообществе комментариев этого YouTube-канала?"
Предоставляемые инструменты (Tools)
Инструмент | Описание | Аутентификация |
| Получение результатов анализа по токену общей ссылки | Не требуется |
| Получение результатов по ID анализа | Требуется API-ключ |
| Информация об API и список эндпоинтов | Не требуется |
Структура возвращаемых данных
{
"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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