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Image Tools - Background Removal, Upscaling & Face Restoration

io.github.fasuizu-br/image-tools
디자인 및 크리에이티브 공개 · 연결 가능 MCP 2025-11-25

이 MCP로 할 수 있는 일

Processes images with GPU-accelerated background removal, super-resolution upscaling, and face restoration.

기능

도구

4 도구
check_image_service
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
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'properties': {}}
remove_background
Remove Background
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
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'required': ['image_base64'], 'properties': {'image_base64': {'type': 'string', 'maxLength': 20000000, 'description': 'Base64-encoded image data. Supports PNG, JPEG, and WebP formats.'}, 'output_format': {'type': 'string', 'default': 'png', 'description': "Output image format: 'png' (default, with transparency) or 'webp'"}}}
restore_face
Restore Face
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
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'required': ['image_base64'], 'properties': {'upscale': {'type': 'integer', 'default': 2, 'description': 'Output upscale factor: 1-4 (default: 2)'}, 'image_base64': {'type': 'string', 'maxLength': 20000000, 'description': 'Base64-encoded image data containing one or more faces.'}, 'enhance_background': {'type': 'boolean', 'default': True, 'description': 'Enhance background with Real-ESRGAN (default: true)'}}}
upscale_image
Upscale Image
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
읽기 전용 외부 접근 가능 멱등성
입력 스키마 
{'type': 'object', 'required': ['image_base64'], 'properties': {'scale': {'type': 'integer', 'default': 4, 'description': 'Upscale factor: 2 or 4 (default: 4)'}, 'image_base64': {'type': 'string', 'maxLength': 20000000, 'description': 'Base64-encoded image data. Supports PNG, JPEG, and WebP formats.'}}}
기록

최근 도구 변경

추가됨
check_image_service
2026년 9월 17일 12:41 PM
추가됨
restore_face
2026년 9월 17일 12:41 PM
추가됨
upscale_image
2026년 9월 17일 12:41 PM
추가됨
remove_background
2026년 9월 17일 12:41 PM
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