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Access synthetic subscriber data for personalization development, testing, and recommendation workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "zee5-mcp-private" yet — see the docs or source repo.
Use zee5-mcp-private to fetch a synthetic subscriber profile, recent watch history, and billing status, then format them as JSON for a recommendation agent.
Structured user data including profile, viewing preferences, and subscription status, ready for personalization workflows.
Pull 10 synthetic user samples from zee5-mcp-private, compare their watch history and billing status, and validate whether recommendation rules work across segments.
A comparison of test samples showing which recommendation rules matched or failed.
Using synthetic billing and watch data from zee5-mcp-private, identify possible churn traits and summarize signals for personalized retention.
A list of potential churn traits and insights suitable for follow-up recommendation or retention actions.
Access YouTube data via MCP for channels, videos, playlists, and captions.
Search ZEE5 titles, retrieve metadata, and discover similar, trending, and new releases.
Search YouTube, browse channels and playlists, and fetch video details via MCP.
Search, inspect, trace, and read business data assets across internal platforms.
Aggregate multiple MCP servers into one endpoint for unified tool access.
Aggregate remote control, email, monitoring, and search tools for AI actions.