Image Tools - Background Removal, Upscaling & Face Restoration
Background removal, 4x upscaling, and face restoration via GPU
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"image-tools": {
"url": "https://image-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcp"
}
}
}遠端端點
https://image-mcp.thankfulfield-a7857897.eastus.azurecontainerapps.io/mcpstreamable-httphttps://apim-ai-apis.azure-api.net/mcp/image/mcpstreamable-http它能做什麼
工具清單
工具（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
輸入結構描述
{
"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
輸入結構描述
{
"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
輸入結構描述
{
"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
輸入結構描述
{
"type": "object",
"properties": {}
}社群
證據