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YouTube
Chat with Claude or ChatGPT about your YouTube analytics using natural language. Ask which videos drove the most watch time this quarter, how subscriber growth trends compare across months, or what your top performing playlists reveal about audience content preferences. The AI reads your replicated YouTube data and returns instant insights without manual spreadsheet exports or complex filtering interfaces.
Kondado exposes six YouTube pipelines through an MCP server, enabling Claude, ChatGPT, and other compatible clients to query your channel statistics, video metrics, and playlist data directly in chat. The same replicated data also powers ready dashboards in Power BI and Looker Studio for visual recurring monitoring.
Content managers, digital marketing analysts, and brand strategists use this capability to investigate specific business questions without technical setup or coding knowledge. Query your Daily Video Statistics to identify which content formats generate the longest view durations, combine Daily Channel Statistics with Daily Video Views to correlate upload frequency with subscriber gains, or ask about Playlist Items to optimize your content organization strategy. Every question receives answers based on your actual replicated data, updated on a configurable schedule to ensure current metrics reflect your latest channel activity.
The pipelines below contain every metric needed for comprehensive YouTube intelligence. Daily Channel Statistics reveals subscriber fluctuations and overall channel health trends, while Daily Video Statistics shows individual content performance including likes, comments, and average view duration metrics. Playlist Items and Playlists pipelines unlock insights about how your content organization affects discovery rates and total watch time accumulation. Daily Video Views and Daily Channel Views provide granular traffic patterns that explain exactly when your audience engages most throughout the week.
Combining these six pipelines enables sophisticated cross-analysis: correlate playlist positioning with subsequent video performance changes, or match specific upload timing patterns with subscriber growth spikes across different content categories. Since Kondado replicates your data on a configurable schedule, your AI chat always references fresh metrics rather than stale manual exports, ensuring answers reflect your current channel reality.
MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.
Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.
In 3 steps: connect on Kondado, pick dashboard or chat, analyze.
Connect your YouTube channel on Kondado at app.kondado.com.br and select a Via Kondado destination so your data lands ready for AI access and for the dashboard templates.
In Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth. Both clients use the same simple GUI setup with no CLI commands or code required.
Ask questions in natural language about your YouTube data through chat, or for visual recurring monitoring, open a ready Power BI or Looker Studio dashboard template.
Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.
How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.
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