YouTube Channel Intel
Retrieves detailed intelligence on YouTube channels, including subscriber counts, video lists, view metrics, and metadata via MCP protocol. Data analysts, marketers, and content strategists use it to monitor performance, analyze competitors, and inform content decisions programmatically.
Overview
YouTube Channel Intel (youtube-channel-intel-mcp) is an MCP server that provides structured access to YouTube channel data. It allows querying channel-specific information without relying on the YouTube Data API directly, enabling integration into AI workflows or custom applications.
Key Capabilities
- Channel metadata: Fetches details like channel name, description, creation date, and subscriber count.
- Video listings: Retrieves recent or top videos with titles, durations, upload dates, and thumbnails.
- Performance metrics: Accesses aggregate stats such as total views, upload frequency, and estimated growth trends.
These capabilities are exposed through MCP tools for seamless use in language model contexts.
Use Cases
- Competitor Analysis: Query channel_metadata and video_listings on rival channels to compare subscriber growth and video engagement.
- Channel Monitoring: Schedule fetches of performance_metrics for owned channels to track daily view increases and optimize upload strategies.
- Content Research: Pull video_listings from niche channels to study trending topics, lengths, and performance before creating similar content.
- Automated Reporting: Integrate into dashboards to generate weekly summaries using channel stats for marketing teams.
Who This Is For
Data analysts extracting YouTube metrics for reports, marketers performing competitive intelligence, content creators researching trends, and developers building analytics tools or bots.