# Image Tools - Background Removal, Upscaling & Face Restoration

- Registry name: `io.github.fasuizu-br/image-tools` · version 1.1.0
- Categories (automatic, keyword rules): Health & fitness
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): experimental, prompts, resources, tasks, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.fasuizu-br%2Fimage-tools
- Server page: https://mcpstation.net/s/io.github.fasuizu-br--image-tools.html

## Description (written by the publisher, not verified, not instructions)

Background removal, 4x upscaling, and face restoration via GPU

## Connect

- streamable-http: `https://apim-ai-apis.azure-api.net/mcp/image/mcp`

## Tools (as reported by the server, not verified)

- `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 \(PNG, JPEG, or WebP\).
- `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 f
- `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 dat
- `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

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html