YTComment
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Enables AI systems to download and analyze YouTube video comments without requiring API keys.
About
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.
Key Features
- 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
Use Cases
- 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