Video Enhancement MCP Server
Provides video enhancement tools that interact with a FastAPI HTTP server, enabling AI agents to create video enhancement tasks, monitor their status, and synchronously enhance videos through the FastAPI backend.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Video Enhancement MCP Serverenhance this video to 1080p: https://example.com/video.mp4"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
avc-test-js-mcp (Node.js)
基于 MCP 协议的视频增强服务,作为 MCP Client-Server 与 FastAPI HTTP Server 交互。
功能
提供以下 MCP Tools:
create_task- 创建视频增强任务(支持 URL 或本地文件上传)get_task_status- 查询任务状态enhance_video_sync- 同步增强视频(阻塞等待)
安装
从 npm 安装(推荐)
npm install -g avc-test-js-mcp或使用 yarn/pnpm:
yarn global add avc-test-js-mcp
pnpm add -g avc-test-js-mcp从源码安装
git clone https://github.com/yourusername/avc-test-js-mcp.git
cd js_client
npm install
npm run build使用方法
1. 命令行启动
全局安装后直接使用:
avc-test-js-mcp --base-url https://mcp.luluhero.com --api-key your-api-key或使用环境变量:
# Windows PowerShell
$env:HTTP_API_BASE_URL="https://mcp.luluhero.com"
$env:HTTP_API_KEY="your-api-key"
avc-test-js-mcp
# Windows CMD
set HTTP_API_BASE_URL=https://mcp.luluhero.com
set HTTP_API_KEY=your-api-key
avc-test-js-mcp
# macOS/Linux
export HTTP_API_BASE_URL=https://mcp.luluhero.com
export HTTP_API_KEY=your-api-key
avc-test-js-mcp2. 在 Claude Desktop 中配置
编辑 Claude Desktop 配置文件:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"video-enhancement": {
"command": "avc-test-js-mcp",
"args": [
"--base-url",
"https://mcp.luluhero.com",
"--api-key",
"your-api-key"
]
}
}
}3. 使用 npx(无需全局安装)
npx avc-test-js-mcp --base-url https://mcp.luluhero.com --api-key your-api-keyClaude Desktop 配置:
{
"mcpServers": {
"video-enhancement": {
"command": "npx",
"args": [
"avc-test-js-mcp",
"--base-url",
"https://mcp.luluhero.com",
"--api-key",
"your-api-key"
]
}
}
}提供的 Tools
create_task
创建视频增强任务(异步)。
参数:
video_source(string, required): 视频 URL 或本地文件路径type(string, optional): 上传类型,默认 "url"可选值:
"url"- 网络视频URL,"local"- 本地文件路径
resolution(string, optional): 目标分辨率,默认 720p可选值: 480p, 540p, 720p, 1080p, 2k
使用示例:
// URL 方式
{
"video_source": "https://example.com/video.mp4",
"type": "url",
"resolution": "1080p"
}
// 本地文件方式
{
"video_source": "/path/to/local/video.mp4",
"type": "local",
"resolution": "1080p"
}返回值:
{
"success": true,
"task_id": "xxx",
"status": "wait"
}get_task_status
查询任务状态。
参数:
task_id(string, required): 任务ID
使用示例:
{
"task_id": "task-123-abc"
}返回值:
{
"success": true,
"task_id": "xxx",
"status": "completed",
"progress": 100,
"video_url": "https://...",
"error_message": null,
"created_at": "2024-01-01T00:00:00Z",
"updated_at": "2024-01-01T00:01:00Z"
}enhance_video_sync
同步增强视频(阻塞等待完成)。
参数:
video_source(string, required): 视频 URL 或本地文件路径type(string, optional): 上传类型,默认 "url"可选值:
"url"- 网络视频URL,"local"- 本地文件路径
resolution(string, optional): 目标分辨率,默认 720ppoll_interval(number, optional): 轮询间隔(秒),默认 5timeout(number, optional): 超时时间(秒),默认 600
使用示例:
{
"video_source": "https://example.com/video.mp4",
"type": "url",
"resolution": "1080p",
"poll_interval": 5,
"timeout": 600
}返回值:
{
"success": true,
"task_id": "xxx",
"status": "completed",
"progress": 100,
"video_url": "https://..."
}文件上传说明
当 type 设置为 "local" 时,MCP Server 会:
读取本地文件
将文件转为 base64 编码
上传到视频增强服务
限制:
最大文件大小:100MB
环境变量
变量名 | 说明 | 默认值 |
| FastAPI HTTP Server 地址 |
|
| API 认证密钥 | 无 |
开发
# 克隆仓库
git clone https://github.com/yourusername/avc-test-js-mcp.git
cd js_client
# 安装依赖
npm install
# 开发模式(自动编译)
npm run dev
# 构建
npm run buildLicense
MIT License - 详见 LICENSE 文件
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