mcp_video_download_url_parser
MCP Video Download URL Parser
Documentation
MCP Video Download URL Parser
这是一个基于MCP的视频下载工具,支持从抖音、TikTok等平台下载无水印视频。
功能特点
- 支持从抖音、TikTok、哔哩哔哩等平台下载无水印视频
- 使用Playwright模拟浏览器环境,绕过网站的防爬措施
- 自动提取视频标题和下载链接
- 支持自定义下载路径
- 支持作为MCP服务运行
安装依赖
# 安装Python依赖
uv pip install -r requirements.txt
# 安装Playwright浏览器
playwright install使用方法
作为MCP服务运行
uv run --index-url https://mirrors.aliyun.com/pypi/simple/ main.py然后可以通过MCP调用`download_video`函数:
# MCP调用示例
result = await mcp_video_url_parser_download_video(url="https://v.douyin.com/your_video_id/", output_path="D:\\视频")直接使用测试脚本
# 使用默认测试URL
uv run direct_test.py
# 指定视频URL
uv run direct_test.py "https://v.douyin.com/your_video_id/"技术实现
本工具使用了两种方式来提取视频URL:
1. Playwright模拟浏览器(主要方法):
2. API直接请求(备用方法):
防爬措施解决方案
snapany.com网站有严格的防爬措施,包括:
1. 请求头验证:需要特定的请求头,如g-timestamp和g-footer
2. Cookie验证:需要有效的会话Cookie
3. 浏览器指纹:检查浏览器环境、Canvas指纹等
4. 动态签名生成:可能基于多种因素动态生成签名
我们通过使用Playwright完全模拟浏览器环境,成功绕过了这些防爬措施。Playwright提供了真实的浏览器环境,包括JavaScript执行、Cookie管理和请求拦截等功能,使我们能够像真实用户一样与网站交互。
注意事项
- 本工具仅用于学习和研究目的
- 请遵守相关平台的使用条款和版权规定
- 不要过于频繁地使用,以避免对目标网站造成压力
安装和执行
通过Smithery安装
要通过Smithery为Claude Desktop自动安装MCP Video Download URL Parser:
npx -y @smithery/cli install @tansunyj/mcp_video_download_url_parser --client claude手动安装
1. 克隆仓库:`git clone https://github.com/tansunyj/mcp_video_download_url_parser.git`
2. 进入目录:`cd mcp_video_download_url_parser`
3. 安装依赖:`pip install -r requirements.txt`
4. 启动MCP服务器:`python main.py`
配置Claude Desktop或Cursor
1. 添加以下配置:
{
"mcpServers": {
"video-url-parser": {
"command": "python",
"args": [
"/path/to/mcp_video_download_url_parser/main.py"
],
"env": {}
}
}
}在魔塔社区(Cursor)部署配置
要在魔塔社区上部署此MCP服务,请按照以下步骤操作:
1. 上传项目:将项目上传到魔塔社区平台
2. 配置服务:在魔塔社区控制台中,找到"MCP服务配置"部分,添加以下配置信息:
{
"name": "video-url-parser",
"description": "视频下载解析工具",
"version": "1.0.0",
"main": "main.py",
"requirements": ["playwright", "asyncio", "aiohttp", "beautifulsoup4"],
"environmentVariables": {
"DOWNLOAD_PATH": "./downloads"
}
}3. 开启服务:在魔塔社区控制台中,找到已添加的服务,点击"开启服务"按钮
4. 服务调用:在魔塔社区中,可以通过以下方式调用该服务:
# 调用示例
result = await mcp_video_url_parser_download_video(
url="https://v.douyin.com/your_video_id/",
output_path="指定保存路径"
)5. 常见问题排查:
使用示例
配置完成后,可以使用如下提示:
- "下载这个视频:[video_url]"
- "将这个视频保存到D:/videos目录:[video_url]"
环境变量
- `DOWNLOAD_PATH`:保存下载视频的路径(默认:./downloads)
开发
要参与开发:
git clone https://github.com/tansunyj/mcp_video_download_url_parser.git
cd mcp_video_download_url_parser
python -m pytest tests/安全性
此MCP服务器在您的本地机器上运行。虽然它不执行任意代码,但在解析来自不受信任来源的URL时请小心。
致谢
本项目使用SnapAny.com的API进行视频解析和下载。
许可证
MIT许可证
Frequently asked questions
What is mcp_video_download_url_parser?
mcp_video_download_url_parser is MCP Video Download URL Parser
How do I install mcp_video_download_url_parser?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp_video_download_url_parser open source?
Yes — it is hosted on GitHub at https://github.com/xhpxhpxhp/mcp_video_download_url_parser and has 1 stars.
Related MCP tools
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Automate browser based workflows with AI
Hindsight: Agent Memory That Learns
A privacy-first app that strips AI watermarks from content you own.
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP