video-studio-mcp

video-studio-mcp

MCP server enabling AI agents to generate AI videos and images, analyze video content, and download videos from Douyin and Xiaohongshu.

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README

Video Studio MCP Server

让 AI Agent(Cursor / Claude Code / Windsurf)直接调用 AI 视频/图片生成云服务 + 抖音/小红书内容下载。

功能

  • 🎬 AI 视频生成 — Sora2、Grok、Veo 等模型,竖屏/横屏/多时长
  • 🖼️ AI 图片生成 — GPT-Image-2、Gemini 等,自动保存到本地
  • 📊 视频内容分析 — Gemini 多模态分析视频结构和文案
  • ✍️ AI 文案写作 — 仿写、润色、批量变体
  • 📥 视频下载 — 抖音/小红书无水印下载(双链路保障)
  • 💰 积分管理 — 余额查询、生成结果自动报告

快速开始

一句话安装 — 复制下面这句话给你的 AI Agent(Cursor / Claude Code / Windsurf):

帮我安装 Video Studio MCP:https://raw.githubusercontent.com/Joshuayang228/video-studio-mcp/master/docs/install.md

Agent 会自动完成:下载代码、安装依赖、配置 MCP、注册 Skill。装完后提供账号密码即可开始使用。

一句话更新 — 已安装过?复制这句话让 Agent 更新:

帮我更新 Video Studio MCP:https://raw.githubusercontent.com/Joshuayang228/video-studio-mcp/master/docs/update.md

手动安装

1. 安装依赖

pip install -r requirements.txt

2. 配置 IDE

在你的 IDE(Cursor / Claude Code)的 MCP 配置中添加:

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "video-studio": {
      "command": "python",
      "args": ["/path/to/mcp-server/server.py"]
    }
  }
}

Claude Code (~/.claude/mcp.json):

{
  "mcpServers": {
    "video-studio": {
      "command": "python",
      "args": ["/path/to/mcp-server/server.py"]
    }
  }
}

3. 登录

在对话中告诉 Agent:

"帮我登录 video-studio,用户名 xxx,密码 xxx"

登录一次后 token 自动保存,后续无需重复操作。

工具列表

工具 功能 消耗积分
login 登录云端服务 ❌
whoami 查看登录状态和余额 ❌
list_models 查询可用模型和参数 ❌
check_balance 查询积分余额 ❌
video_create 创建 AI 视频 ✅
video_status 查询视频生成进度 ❌
video_download 获取视频下载链接 ❌
image_generate 生成 AI 图片 ✅
video_analyze 分析视频内容 ✅
chat AI 对话/文案 ✅
download_video 下载抖音/小红书视频 ❌

Agent 使用指南

安装后 Agent 会自动读取 SKILL.md,了解如何:

  • 先查模型参数再生成(不猜参数)
  • 确认用户意图后再消耗积分
  • 轮询视频进度并及时反馈
  • 下载抖音/小红书内容并分析

详见 SKILL.md

下载功能

支持的平台:

  • 抖音:分享链接 → 无水印视频下载(主链路 iesdouyin + yt-dlp 兜底)
  • 小红书:分享链接 → 视频/图文下载(yt-dlp)
# 在对话中直接说:
"帮我下载这个抖音视频:https://v.douyin.com/xxxxx"
"下载这个小红书:https://www.xiaohongshu.com/explore/xxxxx"

项目结构

mcp-server/
├── server.py          # MCP Server 主文件
├── SKILL.md           # Agent 使用指南(Cursor Skills)
├── requirements.txt   # Python 依赖
├── .env.example       # 环境变量模板
├── .gitignore
├── output/            # 生成的图片保存目录(自动创建)
└── downloads/         # 下载的视频保存目录(自动创建)

扩展能力

如需更多互联网内容获取能力(搜 Twitter、读 Reddit、YouTube 字幕),推荐配合 Agent-Reach。

License

MIT

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