Image API MCP Server
Pricing
Pay per usage
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Image API MCP Server
Image processing MCP server: background removal with BiRefNet segmentation, image upscaling with Real-ESRGAN (2x/4x), face restoration with GFPGAN. 4 tools for AI agents. GPU-accelerated, sub-500ms latency.
Pricing
Pay per usage
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Developer

Fabio Suizu
Maintained by Community
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2 hours ago
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Image processing tools for MCP-enabled AI agents: background removal, image upscaling, and face restoration.
Tools
| Tool | Description | Latency | Status |
|---|---|---|---|
| remove_background | Remove background from images with BiRefNet segmentation | <500ms | Available |
| upscale_image | Enhance image resolution by 2x or 4x with Real-ESRGAN | <1s | Coming Soon |
| restore_face | Restore and enhance faces with GFPGAN | <800ms | Coming Soon |
| check_image_service | Health check for image processing backends | <1s | Available |
Models
| Capability | Model | Description |
|---|---|---|
| Background Removal | BiRefNet | Bilateral Reference Network for precise foreground segmentation |
| Image Upscaling | Real-ESRGAN | Enhanced Super-Resolution GAN for 2x/4x upscaling |
| Face Restoration | GFPGAN | Generative Facial Prior GAN for face enhancement |
How to Use
MCP Endpoint
https://<ACTOR_ID>.apify.actor/mcp?token=YOUR_APIFY_TOKEN
Example: Background Removal
Input:
{"image_base64": "<base64-encoded-image>","output_format": "png"}
Response:
{"image_base64": "<base64-encoded-result>","format": "png","original_size": {"width": 1920, "height": 1080},"processing_ms": 342}
Supported Formats
| Property | Value |
|---|---|
| Input formats | PNG, JPEG, WebP |
| Output formats | PNG (with transparency), WebP |
| Max input size | 10 MB |
| Max resolution | 4096x4096 |
| Min resolution | 32x32 |
| Encoding | base64 |
Pricing
| Tool | Price |
|---|---|
| Background Removal | $0.01/image |
| Image Upscaling | $0.02/image (coming soon) |
| Face Restoration | $0.02/image (coming soon) |
| Health Check | Free |
Bulk discount: 50% off for >50K images/month.
Use Cases
- E-commerce: Remove product backgrounds for clean catalog images
- Design Automation: Batch process images for consistent styling
- Photo Enhancement: Upscale low-resolution images and restore faces
- Content Moderation: Process user-uploaded images at scale
- AI Agents: Programmatic image processing via MCP tools
Links
- API Docs: https://apim-ai-apis.azure-api.net
- Company: https://brainiall.com