io.github.fasuizu-br/image-tools · v1.1.0 · ai-and-media
Image Tools - Background Removal, Upscaling & Face Restoration is healthy: it completed an MCP handshake in 2736 ms and exposes 4 tools. It scores 56/100.
Background removal, 4x upscaling, and face restoration via GPU
Endpoint: https://apim-ai-apis.azure-api.net/mcp/image/mcp (streamable-http)
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| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 1 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-15T03:50:56.764Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T03:50:36.851Z | Healthy | 2736 |
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 |
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: |
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 ima |
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 |