Image Tools - Background Removal, Upscaling & Face Restoration
Background removal, 4x upscaling, and face restoration via GPU
Connect it
Settings → Connectors → Add custom connector
URL: https://apim-ai-apis.azure-api.net/mcp/image/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://apim-ai-apis.azure-api.net/mcp/image/mcp{
"mcpServers": {
"image-tools": {
"url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
}
}
}claude mcp add --transport http image-tools https://apim-ai-apis.azure-api.net/mcp/image/mcp{
"servers": {
"image-tools": {
"type": "http",
"url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
}
}
}4 tools, verified live
remove_backgroundread-onlyRemove 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 w
upscale_imageread-onlyUpscale 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-
restore_faceread-onlyRestore 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
check_image_serviceread-onlyCheck 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
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