"Bilibili - Chinese Video Sharing Platform" matching MCP servers:

A Bilibili MCP Server that can retrieve subtitles, danmaku (bullet comments), and comments information from videos using the video URL.

Enables 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.

Enables retrieving Bilibili video metadata, part lists, and timestamped official/AI subtitle transcripts through MCP tools, without downloading videos.

✨ 为你的 AI 助手装上 B 站的眼睛：一键提取视频字幕与热门评论，助力高效信息总结 🚀 ✨ Equip your AI assistant with "Bilibili Eyes": One-click extraction of video subtitles and popular comments for efficient information summarization 🚀

Enables 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.

A MCP server providing 22 tools to interact with Bilibili API, enabling video info, search, user profile, comments, rankings, and messaging with login support for write operations.

Enables reading public Bilibili video information — keyword search, UP profiles and uploads, video details and parts, comments and replies, danmaku, subtitles, and frame snapshots — through an MCP interface, with optional Bilibili login for authenticated features such as comments and subtitles.

Enables MCP-capable AI assistants to operate Bilibili end to end through 27 tools: QR-code login, video search and content collection (comments, subtitles, danmaku), publishing videos and dynamics with AI-content declarations and self-only visibility, plus rankings, analytics, and messaging interactions. It is a modified fork that fixes cookie handling and the submission zone table.

Enables AI assistants to directly operate Bilibili, providing 27 tools for login, search, content publishing, data analysis, and interaction.

An MCP server for interacting with Bilibili, enabling AI assistants to search videos, fetch comments and subtitles, publish content, and manage interactions. It also adds private message reading, stable TV login, and an automated comment workflow requiring human confirmation.

Enables AI agents to manage and publish content across multiple Chinese social media platforms including Xiaohongshu, Douyin, WeChat, Weibo, Zhihu, and Bilibili.

A MCP tool to fetch Bilibili hot list videos, supporting configurable top-K results via async HTTP requests.

Enables 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.

MCP server for parsing Chinese fuzzy time expressions (e.g., '昨天', '下午3点', '中秋节') into standard datetime formats.

A traceable Chinese-history MCP server that enables querying of nine classical Chinese texts (e.g., 史记, 汉书) with citations and honest status labels. It provides four tools to search events, persons, places, and qualities, all with provenance.

Extracts transcripts or spoken captions from multi-platform video links (Bilibili, YouTube, Douyin) and returns concise Markdown summaries or full transcripts, saving tokens by keeping full text out of the conversation.

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 powered by public Bilibili APIs so AI agents can search videos and read public video and creator metadata.

A local MCP server that brings Chinese NLP capabilities to AI agents and IDEs. It provides four tools: Chinese word segmentation (jieba), pinyin conversion (pypinyin), TF-IDF keyword extraction, and custom sensitive-word detection (Aho-Corasick). All processing runs locally over stdio, with zero network requests and no built-in sensitive-word dictionary — users supply their own word lists. Install

Provides real-time quotes, fund flows, and corporate announcements for Chinese A-share stocks. It enables users to search for stocks, analyze financial indicators, and summarize quarterly reports through natural language.