Retrieve Bilibili video rankings across categories like animation, music, and gaming to analyze current youth content trends.
Apache 2.0
194,485 tools. Last updated 2026-06-11 22:32
"Bilibili" matching MCP tools:
- Retrieve danmaku (bullet comments) from any Bilibili video using its URL. Returns comments with content, timestamp, and user information.MIT
- Extract subtitles with timestamps from Bilibili videos to access multilingual content and transcriptions for analysis or accessibility.MIT
- Retrieve subtitles from any Bilibili video by providing its URL. Returns subtitles grouped by language with timestamps for easy access.MIT
- Retrieve popular comments from any Bilibili video by providing its URL. Get comment content, user info, and like counts for analysis or display.MIT
- Extract danmaku (bullet comments) from Bilibili videos to analyze viewer engagement and feedback. Provide the video URL to retrieve comments with timestamps and user details.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables searching for Bilibili videos through a standardized MCP interface, returning video information including title, author, view count, and duration with pagination support.Last updated471MIT
- AlicenseCqualityCmaintenanceA Model Context Protocol (MCP) server that provides services for the bilibili.com API, supporting functions such as obtaining user information and video search.Last updated31Apache 2.0
Matching MCP Connectors
Track Bilibili creators and get the latest updates on videos, dynamics, and articles. Fetch user p…
An MCP server that fetches video transcripts/subtitles, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit. Whisper fallback — transcribes audio when subtitles are unavailable.
- Retrieve popular comments from Bilibili videos to analyze viewer engagement and feedback. Extracts comment content, user details, and like counts for video analysis.MIT
- Retrieve detailed metadata for a Bilibili video by specifying its unique BVID, enabling precise access to video information for analysis or integration purposes.MIT
- Retrieve detailed information about a Bilibili user by providing their numeric ID for analysis or integration in workflows.MIT
- Search for videos on Bilibili using keywords, specify page numbers, and control the number of results returned for focused content discovery.MIT
- Retrieve detailed metadata for Bilibili videos using the video ID, including title, uploader, duration, and view statistics.Apache 2.0
- Retrieve Bilibili user details by providing a user ID (mid) to access profile information through the Bilibili-Api server.Apache 2.0
- Find videos on Bilibili by entering keywords to access relevant content from the platform's extensive library.Apache 2.0
- Retrieve comments from Bilibili videos with pagination, sorting options, and nested replies support in Markdown or JSON format using valid Bilibili credentials.MIT
- Retrieve comments from Bilibili dynamic posts with pagination and nested reply support. Requires valid Bilibili Cookie for authentication.MIT
- Fetch trending lists from Chinese platforms like Zhihu, Weibo, and Bilibili to stay updated on popular topics and discussions in real time.MIT
- Detect sensitive Chinese words in social media copy and get risk levels, category, position, and replacement suggestions to ensure compliance.MIT
- Retrieve video subtitles as plain text. Supports YouTube, Twitter, Instagram, TikTok, Twitch, Vimeo, Facebook, and more. Auto-detects language and allows pagination for long transcripts.MIT
- Convert Bilibili videos into structured text via audio transcription for direct use with language models.MIT
- Extract and format Bilibili video content into structured text for LLM processing. Provide a video URL to get transcribed output.MIT