Enables retrieving Bilibili video metadata, part lists, and timestamped official/AI subtitle transcripts through MCP tools, without downloading videos.
An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host
A Model Context Protocol (MCP) server that provides comprehensive video tools: transcript retrieval, video downloading, and automatic subtitle generation using AI speech-to-text. Works with YouTube, Bilibili, Vimeo, and any platform supported by yt-dlp.
A Bilibili subtitle fetching MCP server that supports various input formats (BV number, video URL, short link) and offers configurable language preferences, output formats, and ASR fallback.
An MCP server that enables users to search Bilibili videos, access trending rankings, and retrieve detailed information about videos, content creators, and anime schedules. It allows AI applications to interact directly with Bilibili content via simple API interfaces.