Bilibili Comments MCP
Related Servers
Alternatives to Bilibili Comments MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables the retrieval of subtitles, danmaku (bullet comments), and video comments from Bilibili using standard or short video URLs. It supports multiple transport methods and requires Bilibili authentication via SESSDATA.32MIT
- 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-
- AlicenseAqualityAmaintenanceEnables AI coding agents to access Bilibili video data and turn videos into notes, including search, video info, subtitles, chapters, audio download, ASR transcription, comments, uploader collections, and favorites.151MIT
- FlicenseAqualityDmaintenanceEnables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.1-
- AlicenseNot gradedqualityBmaintenanceEnables retrieving Bilibili video metadata, part lists, and timestamped official/AI subtitle transcripts through MCP tools, without downloading videos.MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one targets dynamic comments and the other targets video comments, with no overlap in functionality. The descriptions reinforce this by specifying different contexts (dynamic vs. video) while sharing similar features like pagination and nested replies.
Both tools follow a consistent verb_noun pattern (get_dynamic_comments and get_video_comments), using the same verb 'get' and similar noun structures. This makes the naming predictable and easy to understand across the tool set.
With only 2 tools, the server feels thin for a comments-focused domain, lacking operations like creating, updating, deleting, or searching comments. This minimal set may limit agent workflows, as it only supports retrieval without full CRUD coverage.
The tool set is severely incomplete for a comments domain, missing essential operations such as posting comments, replying to comments, or deleting comments. While retrieval is covered for dynamics and videos, there are significant gaps that will hinder agents from performing common comment-related tasks.