All servers · Health & fitness
Image Tools - Background Removal, Upscaling & Face Restoration
io.github.fasuizu-br/image-tools · v1.1.0
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | experimental, prompts, resources, tasks, tools |
| Tool definitions | 4 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Background removal, 4x upscaling, and face restoration via GPU
Connect
streamable-http · 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{
"mcpServers": {
"image-tools": {
"url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
}
}
}Tools as reported by the server
remove_backgroundRemove 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_imageUpscale 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 frestore_faceRestore 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 datcheck_image_serviceCheck 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
Repository · Website · JSON · Text for agents · Registry updated 2026-03-05