Image Tools - Background Removal, Upscaling & Face Restoration MCP Server

by fasuizu-br Your server? Claim it

answering

Image Tools - Background Removal, Upscaling & Face Restoration is answering right now. Last checked 14 min ago. It exposes 4 tools. Last commit 3 Aug 2026.

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

Uptime history 91 days of history · worst day 80%

91 days agonow

97.8%

Uptime 24h

89 of 91 checks

Tools

read from the server

551 ms

Response time

average over 24h

Stars

last commit 3 Aug 2026

Image Tools - Background Removal, Upscaling & Face Restoration does not always answer

Over the last week it answered 96.6% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add image-tools --transport http https://apim-ai-apis.azure-api.net/mcp/image/mcp

Settings → Connectors → Add custom connector, then paste this address

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

~/.codex/config.toml

[mcp_servers.image-tools]
url = "https://apim-ai-apis.azure-api.net/mcp/image/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "image-tools": {
      "url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "image-tools": {
      "type": "http",
      "url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

background

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). output_format: Output format -- 'png' (with transparency) or 'webp'. Returns: dict with keys: - image_base64 (str): Base64-encoded result image - format (str): Output image format - original_size (dict): Original width and height - processing_ms (int): Processing time in milliseconds

image

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

restore

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 data containing faces (PNG, JPEG, WebP). upscale: Output upscale factor -- 1 to 4 (default: 2). enhance_background: Whether to enhance background with Real-ESRGAN (default: true). Returns: dict with keys: - image (str): Base64-encoded restored image - format (str): Output image format - width (int): Output width - height (int): Output height - upscale (int): Scale factor applied - processing_time_ms (float): Processing time in milliseconds

upscale

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 factor -- 2 or 4 (default: 4). Returns: dict with keys: - image (str): Base64-encoded upscaled image - format (str): Output image format - width (int): Output width - height (int): Output height - scale (int): Scale factor applied - processing_time_ms (float): Processing time in milliseconds

Endpoints

URL	Transport	State	Latency	Checked
https://apim-ai-apis.azure-api.net/mcp/image/mcp	streamable-http	answering	566 ms	14 min ago

Alternatives to Image Tools - Background Removal, Upscaling & Face Restoration

same job, measured the same way

Pixelpanda MCP

by ryankramer

33 image tools: free local editing, AI upscaling, background removal, and product photos

114 installs/wk local only

Brainiall Image

by brainiall

Background removal, upscaling, face restore, document OCR, table extraction, visual understanding.

10 tools answering

RegiAI

by regiai

AI image, video and audio tools: generate, edit, face swap, upscale, remove backgrounds, make video.

52 tools answering

CropDen: image sizes and AI image tools

by geektao1024

Platform image sizes with safe zones (free), plus AI extend, upscale and background removal.

6 tools answering

Pruna

by charlesrapp

Ultra-fast image generation, editing, upscaling, and video generation via Pruna AI.

123 installs/wk local only

MCP Image

by infoinlet-marketplace

Image generation & editing for AI agents (Runware) — text-to-image, bg removal, upscale.

46 installs/wk local only

ImgVX AI

by imgvx

Find the free ImgVX AI browser tool for any image job: remove backgrounds, upscale, compress.

3 tools answering

Imagegen MCP

by forgemeshlabs

AI image generation MCP — generate, bg removal, 4x upscale, or full pro pipeline. USDC/Base.

83 installs/wk local only

Image Tools - Background Removal, Upscaling & Face Restoration — questions

Answers built from our own checks of this server.

What can Image Tools - Background Removal, Upscaling & Face Restoration do?

It exposes 4 tools, read directly from the server on our last check. Among them: check_image_service, remove_background, restore_face, upscale_image. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Image Tools - Background Removal, Upscaling & Face Restoration working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 89 of 91 checks got a reply (97.8%), average response time 551 ms. The bar chart above shows every period we have measured.

How do I connect Image Tools - Background Removal, Upscaling & Face Restoration?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Image Tools - Background Removal, Upscaling & Face Restoration need an API key?

No. Image Tools - Background Removal, Upscaling & Face Restoration completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Image Tools - Background Removal, Upscaling & Face Restoration?

It answers our handshake in 551 ms on average, which is faster than 21% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Image Tools - Background Removal, Upscaling & Face Restoration open source?

The code is open source: it is published under the MIT licence, written in JavaScript, 3 stars on GitHub and 24 open issues. The licence covers the code in the repository, not the hosted service at apim-ai-apis.azure-api.net, which runs on its operator's own terms.