bilibili-subtitle-fetch

bilibili-subtitle-fetch

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.

Category
Visit Server

README

Bilibili Subtitle Fetch

一个用于获取 Bilibili 视频字幕的 MCP Server，支持语言和输出格式选项。

uv tool install --python 3.13 bilibili-subtitle-fetch

支持以下输入：

  • BV 号，例如 BV1fz4y1j7Mf
  • 标准视频链接，例如 https://www.bilibili.com/video/BV1fz4y1j7Mf?p=2
  • 短链，例如 https://b23.tv/FAm7Xn4

配置

凭据配置文件

首次使用时执行 bilibili-subtitle-fetch init，然后粘贴你的 Bilibili Cookie。

默认配置文件路径：

  • Windows: %APPDATA%\bilibili-subtitle-fetch\config.toml
  • Linux/macOS: ~/.config/bilibili-subtitle-fetch/config.toml

也可以通过 --config /path/to/config.toml 指定自定义路径。

配置文件会在 [credential] 下保存这些字段：

  • sessdata - 访问需要登录态的字幕接口时必需
  • bili_jct - 自动刷新时必需
  • ac_time_value - 自动刷新时必需
  • buvid3、buvid4、dedeuserid - 可选，但建议一并保存

当 sessdata、bili_jct 和 ac_time_value 都存在时，服务会在发起需要登录态的请求前自动检查是否需要刷新 Cookie，并将新值回写到 config.toml，不需要手动执行刷新命令。

ASR 配置 (可选)

配置文件同样支持 [asr] 段落配置默认的音频转写行为：

  • enable_asr - 是否开启 ASR 回退 (true/false)。开启后，如果视频未提供自带字幕，程序会自动下载音频并生成字幕。
  • model_size - Whisper 模型大小，默认为 base。也可以选用 tiny、small 等。

运行参数

  • --preferred-lang - 覆盖默认字幕语言
  • --output-format - 覆盖默认输出格式
  • --config - 使用自定义配置文件路径

CLI 用法

先执行 bilibili-subtitle-fetch init 配置 Cookie，然后可以直接在终端获取字幕：

bilibili-subtitle-fetch fetch BV1fz4y1j7Mf
bilibili-subtitle-fetch fetch "https://www.bilibili.com/video/BV1fz4y1j7Mf?p=2"

命令会把字幕输出到标准输出，并在成功后自动复制到剪贴板。

可选参数：

  • --preferred-lang - 指定优先字幕语言
  • --output-format text|timestamped - 指定输出格式
  • --no-clipboard - 只输出，不复制到剪贴板
  • --asr - 强制启用 ASR 语音识别回退
  • --no-asr - 强制关闭 ASR 语音识别回退

获取 Bilibili 凭据

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured