# Bilibili Video Info MCP

> Use this tool when you need to extract subtitles, danmaku, and comments from Bilibili videos. It solves the problem of manually collecting video metadata by providing an automated way to retrieve information using a video URL as input. The tool outputs subtitles, danmaku, and comments data, making it useful for analysis, translation, or other applications requiring Bilibili video metadata.

Canonical page: https://skillsregistry.net/skills/lesir831-bilibili-video-info-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lesir831-bilibili-video-info-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t72hl29x31)
- **Repository:** <https://github.com/lesir831/bilibili-video-info-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lesir831-bilibili-video-info-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lesir831-bilibili-video-info-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lesir831-bilibili-video-info-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt