YTComment
0
Enables AI systems to download and analyze YouTube video comments without requiring API keys.
Acerca de
YTComment empowers AI systems to access and analyze YouTube video comments seamlessly. By functioning as a Model Context Protocol (MCP) server, it eliminates the need for API keys through web scraping. It offers specialized tools for various comment analysis needs, including downloading raw data, generating context-efficient statistics, searching for specific terms, and retrieving top comments sorted by actual like count. The server incorporates built-in capacity planning with memory and timeout limits and provides key insights into video engagement.
Características Principales
- Enables engagement analysis with like-count sorting
- Provides 4 specialized tools for different comment analysis needs
- Offers context-efficient statistics to avoid token bloat
- Includes built-in capacity planning with memory and timeout limits
- Web scraping based, so no API keys are needed
- 0 GitHub stars
Casos de Uso
- Analyzing video engagement and comment patterns
- Identifying viral comments that might not be surfaced by YouTube's algorithm
- Finding specific mentions or sentiment within comments