Bilibili Video Info MCP
Related Servers
Alternatives to Bilibili Video Info MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables retrieval of comments from Bilibili videos and dynamic posts with support for pagination, sorting, and nested replies in both Markdown and JSON formats.25 npm1MIT
- AlicenseNot gradedqualityBmaintenanceEnables retrieving Bilibili video metadata, part lists, and timestamped official/AI subtitle transcripts through MCP tools, without downloading videos.MIT
- FlicenseNot gradedqualityDmaintenanceEnables interaction with Bilibili (B站) platform through API and web scraping. Supports video search, article search, video info retrieval, comment fetching, danmaku extraction, and article content access.4-
- AlicenseNot gradedqualityAmaintenanceEnables link type detection, video downloading, metadata extraction, and transcript generation across 16+ platforms including YouTube, Bilibili, and WeChat Channels. Supports automatic subtitle extraction and optional Whisper speech-to-text for videos without captions.2MIT
- FlicenseNot gradedqualityDmaintenanceEnables interaction with Bilibili (哔哩哔哩) through its API, supporting video search and recommendations, user search, dynamic feeds, video collections, and danmaku retrieval through natural language.5-
- AlicenseNot gradedqualityBmaintenanceEnables probing, ingesting, transcribing, and searching Bilibili videos with timestamped evidence and frame extraction, without reading browser cookies.1 npmMIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose targeting different aspects of video content: comments, danmaku (bullet comments), and subtitles. There is no overlap in functionality, and the descriptions make it easy to differentiate between these three types of video metadata.
All tools follow a consistent 'get_noun' pattern (get_comments, get_danmaku, get_subtitles) using snake_case throughout. This predictable naming convention makes it easy for agents to understand what each tool does based on its name alone.
With only 3 tools, the server feels somewhat thin for a video information domain. While the tools cover specific metadata types well, there are likely other relevant operations (like getting video details, statistics, or user info) that would make the surface more complete for typical video analysis workflows.
The toolset has significant gaps for a video information server. There's no way to get basic video metadata (title, description, duration, uploader), statistics (views, likes, shares), or user information. While the three tools provide specific content types, they don't cover the fundamental video information that would typically be needed first in most workflows.