MCP serverio.github.fasuizu-br/image-tools
Background removal, 4x upscaling, and face restoration via GPU
Overview
Score?
UNRATED 0.647
of what a free look can see, on 32 looks
Looks
35
last 15 hr ago
Tools
4
More info
URL
apim-ai-apis.azure-api.net/mcp/image/mcp
streamable-http
Says it is
brainiall-image 2.14.5
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.647 · highest on record 0.8561
Toolsfrom sha256:c148853a59…b12770
| Tool | Schema |
|---|---|
| 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 st |
input · no output |
| 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) |
input · no output |
| 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 |
input · no output |
| 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.
|
input · no output |
Verify it yourself
npx teppi-check https://apim-ai-apis.azure-api.net/mcp/image/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2F9QWQDV50MJKD1FR2V1