@avclabs.ai/enhance-mcp
Enables video enhancement through MCP tools for creating tasks, querying status, and synchronous enhancement, supporting URL or local file inputs.
README
@avclabs.ai/enhance-mcp (Node.js)
中文文档 | English
A video enhancement service based on the MCP protocol, acting as an MCP Client-Server to interact with a FastAPI HTTP Server.
Features
The following MCP Tools are provided:
create_task- Create a video enhancement task (supports URL or local file upload)get_task_status- Query task statusenhance_video_sync- Synchronously enhance a video (blocking wait)
Installation
Install from npm (Recommended)
npm install -g @avclabs.ai/enhance-mcp
Or use yarn/pnpm:
yarn global add @avclabs.ai/enhance-mcp
pnpm add -g @avclabs.ai/enhance-mcp
Install from Source
git clone https://github.com/avclabs/enhance-mcp.git
cd js_client
npm install
npm run build
Usage
1. Command Line
Use directly after global installation:
avclabs-enhance-mcp --base-url https://mcp.avc.ai --api-key your-api-key
Or use environment variables:
# Windows PowerShell
$env:HTTP_API_BASE_URL="https://mcp.avc.ai"
$env:HTTP_API_KEY="your-api-key"
avclabs-enhance-mcp
# Windows CMD
set HTTP_API_BASE_URL=https://mcp.avc.ai
set HTTP_API_KEY=your-api-key
avclabs-enhance-mcp
# macOS/Linux
export HTTP_API_BASE_URL=https://mcp.avc.ai
export HTTP_API_KEY=your-api-key
avclabs-enhance-mcp
2. Configure in Claude Desktop
Edit the Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"video-enhancement": {
"command": "avclabs-enhance-mcp",
"args": [
"--base-url",
"https://mcp.avc.ai",
"--api-key",
"your-api-key"
]
}
}
}
3. Use with npx (No Global Installation Required)
npx @avclabs.ai/enhance-mcp --base-url https://mcp.avc.ai --api-key your-api-key
Claude Desktop configuration:
{
"mcpServers": {
"video-enhancement": {
"command": "npx",
"args": [
"@avclabs.ai/enhance-mcp",
"--base-url",
"https://mcp.avc.ai",
"--api-key",
"your-api-key"
]
}
}
}
Provided Tools
create_task
Create a video enhancement task (asynchronous).
Parameters:
video_source(string, required): Video URL or local file pathtype(string, optional): Upload type, defaults to "url"- Options:
"url"- Network video URL,"local"- Local file path
- Options:
resolution(string, optional): Target resolution, defaults to 720p- Options: 480p, 540p, 720p, 1080p, 2k
Example:
// URL mode
{
"video_source": "https://example.com/video.mp4",
"type": "url",
"resolution": "1080p"
}
// Local file mode
{
"video_source": "/path/to/local/video.mp4",
"type": "local",
"resolution": "1080p"
}
Returns:
{
"success": true,
"task_id": "xxx",
"status": "wait"
}
get_task_status
Query task status.
Parameters:
task_id(string, required): Task ID
Example:
{
"task_id": "task-123-abc"
}
Returns:
{
"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
Synchronously enhance a video (blocking wait until completion).
Parameters:
video_source(string, required): Video URL or local file pathtype(string, optional): Upload type, defaults to "url"- Options:
"url"- Network video URL,"local"- Local file path
- Options:
resolution(string, optional): Target resolution, defaults to 720ppoll_interval(number, optional): Polling interval in seconds, defaults to 5timeout(number, optional): Timeout in seconds, defaults to 600
Example:
{
"video_source": "https://example.com/video.mp4",
"type": "url",
"resolution": "1080p",
"poll_interval": 5,
"timeout": 600
}
Returns:
{
"success": true,
"task_id": "xxx",
"status": "completed",
"progress": 100,
"video_url": "https://..."
}
File Upload Notes
When type is set to "local", the MCP Server will:
- Read the local file
- Encode the file as base64
- Upload it to the video enhancement service
Limitations:
- Maximum file size: 100MB
Environment Variables
| Variable | Description | Default |
|---|---|---|
HTTP_API_BASE_URL |
FastAPI HTTP Server address | https://mcp.avc.ai |
HTTP_API_KEY |
API authentication key | None |
Development
# Clone the repository
git clone https://github.com/avclabs/enhance-mcp.git
cd js_client
# Install dependencies
npm install
# Development mode (auto-compile)
npm run dev
# Build
npm run build
License
MIT License - See LICENSE file for details.
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