Image Tools - Background Removal, Upscaling & Face Restoration
Background removal, 4x upscaling, and face restoration via GPU
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"image-tools": {
"url": "https://image-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}원격 엔드포인트
https://image-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcpstreamable-httphttps://apim-ai-apis.azure-api.net/mcp/image/mcpstreamable-http할 수 있는 일
도구 목록
도구 (4)
🟢remove_background(image_base64, output_format)
Remove the background from an image. Uses BiRefNet segmentation to precisely separate foreground from background. Returns a base64-encoded image with transparent background (PNG) or white background (WebP). Sub-500ms latency on GPU. Args: image_base64: Base64-encoded image data (PNG, JPEG, or WebP). output_format: Output format -- 'png' (with transparency) or 'webp'. Returns: dict with keys: - image_base64 (str): Base64-encoded result image - format (str): Output image format - original_size (dict): Original width and height - processing_ms (int): Processing time in milliseconds
입력 스키마
{
"type": "object",
"properties": {
"image_base64": {
"description": "Base64-encoded image data. Supports PNG, JPEG, and WebP formats.",
"maxLength": 20000000,
"type": "string"
},
"output_format": {
"default": "png",
"description": "Output image format: 'png' (default, with transparency) or 'webp'",
"type": "string"
}
},
"required": [
"image_base64"
]
}🟢upscale_image(image_base64, scale)
Upscale image resolution using Real-ESRGAN. Enhances image resolution by 2x or 4x using GPU-accelerated Real-ESRGAN super-resolution. Processes in tiles (256x256) to manage VRAM. Maximum output dimension: 8192x8192. Args: image_base64: Base64-encoded image data (PNG, JPEG, or WebP). scale: Upscale factor -- 2 or 4 (default: 4). Returns: dict with keys: - image (str): Base64-encoded upscaled image - format (str): Output image format - width (int): Output width - height (int): Output height - scale (int): Scale factor applied - processing_time_ms (float): Processing time in milliseconds
입력 스키마
{
"type": "object",
"properties": {
"image_base64": {
"description": "Base64-encoded image data. Supports PNG, JPEG, and WebP formats.",
"maxLength": 20000000,
"type": "string"
},
"scale": {
"default": 4,
"description": "Upscale factor: 2 or 4 (default: 4)",
"type": "integer"
}
},
"required": [
"image_base64"
]
}🟢restore_face(image_base64, upscale, enhance_background)
Restore and enhance faces in an image using GFPGAN. Detects all faces via RetinaFace, restores quality (fixes blur, noise, compression artifacts), and pastes them back. Optionally enhances the background using Real-ESRGAN. GPU-accelerated, sub-3s latency. Args: image_base64: Base64-encoded image data containing faces (PNG, JPEG, WebP). upscale: Output upscale factor -- 1 to 4 (default: 2). enhance_background: Whether to enhance background with Real-ESRGAN (default: true). Returns: dict with keys: - image (str): Base64-encoded restored image - format (str): Output image format - width (int): Output width - height (int): Output height - upscale (int): Scale factor applied - processing_time_ms (float): Processing time in milliseconds
입력 스키마
{
"type": "object",
"properties": {
"image_base64": {
"description": "Base64-encoded image data containing one or more faces.",
"maxLength": 20000000,
"type": "string"
},
"upscale": {
"default": 2,
"description": "Output upscale factor: 1-4 (default: 2)",
"type": "integer"
},
"enhance_background": {
"default": true,
"description": "Enhance background with Real-ESRGAN (default: true)",
"type": "boolean"
}
},
"required": [
"image_base64"
]
}🟢check_image_service
Check health status of Image API services and loaded models. Returns: dict with keys: - status (str): 'healthy' or error state - models (dict): Loaded model status per capability - version (str): API version
입력 스키마
{
"type": "object",
"properties": {}
}커뮤니티
증거