MCP server
Image Tools - Background Removal, Upscaling & Face Restoration
io.github.fasuizu-br/image-tools
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Background removal, 4x upscaling, and face restoration via GPU
Working at last checkAbout 1,051 tokens per request once connected4 tools
https://apim-ai-apis.azure-api.net/mcp/image/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 1,051 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http image-tools https://apim-ai-apis.azure-api.net/mcp/image/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.image-tools] url = "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
Gemini CLI
{"mcpServers":{"image-tools":{"httpUrl":"https://apim-ai-apis.azure-api.net/mcp/image/mcp"}}}
Cursor
{"mcpServers":{"image-tools":{"url":"https://apim-ai-apis.azure-api.net/mcp/image/mcp"}}}
VS Code
{"servers":{"image-tools":{"type":"http","url":"https://apim-ai-apis.azure-api.net/mcp/image/mcp"}}}
Antigravity
agy mcp add image-tools https://apim-ai-apis.azure-api.net/mcp/image/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"image-tools","server_url":"https://apim-ai-apis.azure-api.net/mcp/image/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"image-tools","server_url":"https://apim-ai-apis.azure-api.net/mcp/image/mcp"}
Tools
check_image_service~97 tokens
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 versionremove_background~296 tokens
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, orrestore_face~368 tokens
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 imaupscale_image~290 tokens
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:
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