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Douyin MCP Server

by yzfly

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About

Douyin MCP Server is a content extraction tool for Douyin short videos that provides watermark-free downloads and AI-powered speech-to-text transcription. Key features: - Extract watermark-free video download links from Douyin share URLs - AI speech recognition using Silicon Flow SenseVoice to automatically transcribe video audio to text - Support for large files with automatic segmentation handling videos over 1 hour or 50MB - Multiple interfaces: WebUI for browser-based use, MCP Server for Claude Desktop and Cherry Studio integration, and command-line tool for batch processing - Export transcriptions as Markdown format

README

短视频文案提取器

[](https://badge.fury.io/py/douyin-mcp-server) [](https://pypi.org/project/douyin-mcp-server/) [](https://opensource.org/licenses/Apache-2.0)

从短视频分享链接下载无水印视频,AI 自动提取语音文案。

✨ 功能特性

  • 🎬 无水印视频 - 获取高质量无水印视频下载链接
  • 🎙️ AI 语音识别 - 使用硅基流动 SenseVoice 自动提取文案
  • 📑 大文件支持 - 自动分段处理超过 1 小时或 50MB 的音频
  • 🌐 WebUI - 现代化浏览器界面,无需命令行
  • 🔌 MCP 集成 - 支持 Claude Desktop 等 AI 应用
  • ---

    📦 使用方式

    | 方式 | 适用场景 | 特点 | |------|----------|------| | WebUI | 普通用户 | 浏览器操作,最简单 | | MCP Server | Claude Desktop 用户 | AI 对话中直接调用 | | 命令行 | 开发者 | 批量处理,脚本集成 |

    ---

    🌐 WebUI (推荐)

    最简单的使用方式,打开浏览器即可使用。

    快速开始

    # 1. 克隆项目
    git clone https://github.com/yzfly/douyin-mcp-server.git
    cd douyin-mcp-server

    2. 安装依赖

    uv sync

    3. 启动服务

    uv run python web/app.py

    打开浏览器访问 http://localhost:8080

    配置 API Key

    有两种方式配置 API Key:

    方式一:浏览器内配置(推荐)

    1. 打开 WebUI 页面 2. 点击顶部的「API 未配置」按钮 3. 在弹窗中输入 API Key 并保存 4. API Key 保存在浏览器本地,刷新页面后仍有效

    方式二:环境变量

    export API_KEY="sk-xxxxxxxxxxxxxxxx"
    uv run python web/app.py
    

    > 💡 获取免费 API Key:硅基流动(新用户有免费额度)

    功能说明

    | 操作 | 说明 | 需要 API | |------|------|:--------:| | 获取信息 | 解析视频标题、ID,获取无水印下载链接 | ❌ | | 提取文案 | 下载视频 → 提取音频 → AI 语音识别 | ✅ | | 下载视频 | 点击下载链接保存无水印视频 | ❌ | | 复制/下载文案 | 一键复制或下载 Markdown 格式文案 | - |

    使用步骤

    1. 粘贴链接 - 将分享链接粘贴到输入框 2. 点击按钮 - 选择「获取信息」或「提取文案」 3. 查看结果 - 右侧显示视频信息和提取的文案 4. 导出 - 复制文案或下载 Markdown 文件

    ---

    🚀 MCP Server

    在 Claude Desktop、Cherry Studio 等支持 MCP 的应用中使用。

    配置方法

    编辑 MCP 配置文件,添加:

    {
      "mcpServers": {
        "douyin-mcp": {
          "command": "uvx",
          "args": ["douyin-mcp-server"],
          "env": {
            "API_KEY": "sk-xxxxxxxxxxxxxxxx"
          }
        }
      }
    }
    

    可用工具

    | 工具名 | 功能 | 需要 API | |--------|------|:--------:| | parse_douyin_video_info | 解析视频信息 | ❌ | | get_douyin_download_link | 获取下载链接 | ❌ | | extract_douyin_text | 提取视频文案 | ✅ |

    对话示例

    用户:帮我提取这个视频的文案 https://v.douyin.com/xxxxx/

    Claude:我来帮你提取视频文案... [调用 extract_douyin_text 工具] 提取完成,文案内容如下: ...

    ---

    🛠️ 命令行工具

    适合开发者和批量处理场景。

    安装

    git clone https://github.com/yzfly/douyin-mcp-server.git
    cd douyin-mcp-server
    uv sync
    

    命令说明

    # 查看帮助
    uv run python douyin-video/scripts/douyin_downloader.py --help

    获取视频信息(无需 API)

    uv run python douyin-video/scripts/douyin_downloader.py -l "分享链接" -a info

    下载无水印视频

    uv run python douyin-video/scripts/douyin_downloader.py -l "分享链接" -a download -o ./videos

    提取文案(需要 API_KEY)

    export API_KEY="sk-xxx" uv run python douyin-video/scripts/douyin_downloader.py -l "分享链接" -a extract -o ./output

    提取文案并保存视频

    uv run python douyin-video/scripts/douyin_downloader.py -l "分享链接" -a extract -o ./output --save-video

    输出格式

    output/
    └── 7600361826030865707/
        ├── transcript.md    # 文案文件
        └── *.mp4            # 视频文件(可选)
    

    transcript.md 内容:

    # 视频标题

    | 属性 | 值 | |------|-----| | 视频ID | 7600361826030865707 | | 提取时间 | 2026-01-30 14:19:00 | | 下载链接 | 点击下载 |

    ---

    文案内容

    这里是 AI 识别的语音文案...

    ---

    📋 系统要求

    | 依赖 | 说明 | 安装方式 | |------|------|----------| | uv | Python 包管理 | curl -LsSf https://astral.sh/uv/install.sh \| sh | | Python | 3.10+ | uv python install 3.12 | | FFmpeg | 音视频处理 | brew install ffmpeg (macOS) apt install ffmpeg (Ubuntu) |

    ---

    🔧 技术说明

    大文件处理

    当音频文件超过 API 限制时(1 小时或 50MB),自动执行:

    1. 检测音频时长和文件大小 2. 使用 FFmpeg 分割成 9 分钟的片段 3. 逐段调用 API 转录 4. 合并所有文本结果

    API 说明

    语音识别使用 硅基流动 SenseVoice API

  • 模型:FunAudioLLM/SenseVoiceSmall
  • 限制:单次最大 1 小时 / 50MB(已自动处理)
  • 费用:新用户有免费额度
  • ---

    📝 更新日志

    v1.4.0 (最新)

  • 🌐 WebUI - 新增浏览器可视化界面
  • 🔑 浏览器配置 API Key - 无需环境变量
  • 📑 大文件支持 - 自动分段处理长音频
  • v1.3.0

  • ✨ Claude Code Skill 支持
  • 📄 Markdown 格式输出
  • v1.2.0

  • 🔄 API 升级
  • v1.0.0

  • 🎉 首次发布
  • ---

    ⚠️ 免责声明

  • 本项目仅供学习和研究使用
  • 使用者需遵守相关法律法规
  • 禁止用于侵犯知识产权的行为
  • 作者不对使用本项目产生的损失承担责任
  • ---

    📄 许可证

    Apache License 2.0

    👨‍💻 作者

    yzfly - GitHub | Email

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