bilibili-video-reader-mcp
Enables retrieving Bilibili video metadata, part lists, and timestamped official/AI subtitle transcripts through MCP tools, without downloading videos.
README
Bilibili Video Reader v2.1
A read-only ChatGPT/Codex plugin built as Skill + stateless MCP server, now targeting Cloudflare Workers so it can run without Render or a credit card.
MCP tools
get_bilibili_video_parts(url)— title, author, description, all P numbers and CIDs.get_bilibili_part_transcript(url, part, language, max_chars)— official/AI subtitle tracks and timestamped transcript for one P.
The Worker calls Bilibili's metadata/player/subtitle endpoints directly. No video download is needed for subtitle mode.
Deploy to Cloudflare Workers
Dashboard path
- Create/sign in to a Cloudflare account.
- Open Workers & Pages → Create → Import a repository (wording may vary slightly).
- Connect GitHub and select
limuzi23/bilibili-video-reader-mcp. - Keep the repository root as the root directory.
- Cloudflare should detect
wrangler.jsoncautomatically. - Use the default deploy command:
npx wrangler deploy. - Deploy.
The Worker name must remain bilibili-video-reader-mcp because it matches wrangler.jsonc.
After deployment, Cloudflare will give you a URL similar to:
https://bilibili-video-reader-mcp.<your-subdomain>.workers.dev
Health check:
https://bilibili-video-reader-mcp.<your-subdomain>.workers.dev/health
MCP endpoint:
https://bilibili-video-reader-mcp.<your-subdomain>.workers.dev/mcp
For public subtitles, no runtime secret is required.
Optional private login state
If a subtitle is only visible while logged in, the Worker can read an optional Cloudflare secret named BILI_COOKIE. Configure it only inside Cloudflare's encrypted Variables and Secrets UI. Never paste raw cookies into ChatGPT and never commit them to GitHub.
Connect to ChatGPT
- ChatGPT → Settings → Security and login → enable Developer mode.
- Open Plugins, press
+, and register the deployed URL ending in/mcp. - Copy the technical ID from the created connection. It begins with
plugin_asdk_app_. - Run
python scripts/configure_plugin.py plugin_asdk_app_YOUR_IDif the plugin packaging flow requires an app reference.
The OpenAI plugin manifest lives at .codex-plugin/plugin.json and the workflow Skill is in skills/bilibili-video-reader/.
Local development
npm install
npm run dev
Deploy from a local terminal if desired:
npm run deploy
Endpoints:
GET /health
MCP /mcp
Architecture
The current production path is:
ChatGPT Skill
↓
Cloudflare Workers /mcp
↓
Bilibili metadata/player/subtitle APIs
↓
structured multi-P metadata + timestamped subtitles
The old server/ Python implementation remains in the repository only as a reference/legacy implementation; Cloudflare does not use it.
Current scope
v2.1 focuses on multi-P metadata + official/AI subtitles. It does not yet download audio/video, run Whisper ASR, or OCR source code from video frames. Those are planned only after this subtitle path is verified end-to-end.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。