bilinote-mcp
Related Servers
Alternatives to bilinote-mcp
No user-submitted related servers found.
Related Servers
- 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-
- 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-
- AlicenseAqualityBmaintenanceEnables agents to search, explore trending content, retrieve video metadata and hot comments, and obtain subtitle transcripts for summarisation on Bilibili, with an anonymous tier and an optional account tier for personalized feeds.101MIT
- AlicenseNot gradedqualityFmaintenanceEnables AI assistants to directly operate Bilibili, providing 27 tools for login, search, content publishing, data analysis, and interaction.98MIT
- AlicenseNot gradedqualityCmaintenanceEnables agents to turn Bilibili course videos into structured VitePress study notes by extracting subtitles, generating organized notes with key points and active recall, and saving them locally. It also supports video search and metadata retrieval through MCP tools.MIT
- AlicenseNot gradedqualityBmaintenanceEnables probing, ingesting, transcribing, and searching Bilibili videos with timestamped evidence and frame extraction, without reading browser cookies.1 npmMIT
TDQS
Scored across 15 tools
Each tool targets a distinct resource/action: search, video info, subtitles, chapters, audio download, ASR, comments, uploader/collection/favorite listing, and QR login. Even the subtitle-related tools are clearly separated by existing vs generated transcripts and single vs batch operations, with explicit cross-references.
Most tools follow a predictable verb_noun pattern with consistent list_favorite_ and list_uploader_ prefixes. Minor deviations like asr_transcribe and get_collection_videos (instead of list_collection_videos) break the pattern slightly, but the overall style remains readable and navigable.
With 15 tools, the server sits at the upper edge of the ideal range, and each tool maps to a concrete step in the video-to-notes workflow. There are no redundant or decorative tools, and the breadth is justified by the many ways Bilibili content can be discovered and collected.
The tool surface covers the full pipeline: search/discovery, video and chapter metadata, transcript acquisition via existing subtitles or ASR, comment context, batch collection/favorite workflows, and login support. Missing write operations are irrelevant for a read/extract server, so agents have no dead ends.