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.

Related MCP server: video-context

Deploy to Cloudflare Workers

Dashboard path

1. Create/sign in to a Cloudflare account.

2. Open Workers & Pages → Create → Import a repository (wording may vary slightly).

3. Connect GitHub and select limuzi23/bilibili-video-reader-mcp.

4. Keep the repository root as the root directory.

5. Cloudflare should detect wrangler.jsonc automatically.

6. Use the default deploy command: npx wrangler deploy.

7. 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

1. ChatGPT → Settings → Security and login → enable Developer mode.

2. Open Plugins, press +, and register the deployed URL ending in /mcp.

3. Copy the technical ID from the created connection. It begins with plugin_asdk_app_.

4. Run python scripts/configure_plugin.py plugin_asdk_app_YOUR_ID if 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.