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Image Tools - Background Removal, Upscaling & Face Restoration

REMOTE · APIM-AI-APIS.AZURE-API.NET · SCANNED AUG 3

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

+7 this week 73 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security77
Transport & Reachability100
Schema Quality & AI Usability66
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 834 tokens (~208/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · apim-ai-apis.azure-api.net

# add to Claude Code
claude mcp add --transport http fasuizu-br-image-tools https://apim-ai-apis.azure-api.net/mcp/image/mcp
# ~/.codex/config.toml
[mcp_servers.fasuizu-br-image-tools]
url = "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fasuizu-br-image-tools": {
      "type": "remote",
      "url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add fasuizu-br-image-tools --url https://apim-ai-apis.azure-api.net/mcp/image/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  fasuizu-br-image-tools:
    url: "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
// mcp.json
{
  "mcpServers": {
    "fasuizu-br-image-tools": {
      "type": "http",
      "url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Jul 26 +4
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 29 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 66

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://apim-ai-apis.azure-api.net/mcp/image/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_256_GCM_SHA384 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.azure-api.net,O=Microsoft Corporation,L=Redmond,ST=WA,C=US CN=Microsoft TLS G2 RSA CA OCSP 02,O=Microsoft Corporation,C=US 7 Jun 2026 4 Dec 2026 RSA 2048 SHA384-RSA 41004cfee075a86fa3cd4ae1450000004cfee0
SANs: *.azure-api.net, *.portal.azure-api.net, *.management.azure-api.net, *.scm.azure-api.net, *.configuration.azure-api.net, *.regional.azure-api.net, *.developer.azure-api.net, *.data.azure-api.net, *.portal-editor.azure-api.net, *.unique.azure-api.net, *.unique.portal.azure-api.net, *.unique.management.azure-api.net and 6 more
CN=Microsoft TLS G2 RSA CA OCSP 02,O=Microsoft Corporation,C=US (CA) CN=Microsoft TLS RSA Root G2,O=Microsoft Corporation,C=US 1 Aug 2025 3 Jun 2029 RSA 4096 SHA384-RSA 330000000c4964a16f44203b2200000000000c
CN=Microsoft TLS RSA Root G2,O=Microsoft Corporation,C=US (CA) CN=DigiCert Global Root G2,OU=www.digicert.com,O=DigiCert Inc,C=US 21 May 2025 19 Jun 2029 RSA 4096 SHA384-RSA b0c6b2c466917b04773c647d4afc0c8
DNSSEC insecure

Validation of apim-ai-apis.azure-api.net. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
net. present 37331 13 Verified
azure-api.net. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Challenged, unverified

The endpoint asked for a token, but we could not retrieve and validate the RFC 9728 metadata that tells a client how to obtain one.

Result Challenged, unverified
Enforced On tool calls
HTTP status 200
Header Value
strict-transport-security max-age=31536000; includeSubDomains
x-content-type-options nosniff
x-frame-options DENY
referrer-policy strict-origin-when-cross-origin
permissions-policy camera=(), microphone=(), geolocation=()

Protected resource metadata

Retrieved No
Problem no_resource_metadata
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://apim-ai-apis.azure-api.net/mcp/image/mcp Verified 200
http (plaintext) http://apim-ai-apis.azure-api.net/mcp/image/mcp Inconclusive 404
MCP tools — 4 exposed · ~752 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
check_image_service ~61

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

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

remove_background ~203

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

NameTypeReqDescription
image_base64stringyesBase64-encoded image data. Supports PNG, JPEG, and WebP formats.
output_formatstringOutput image format: 'png' (default, with transparency) or 'webp'

No output schema declared.

No examples provided.

restore_face ~261

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

NameTypeReqDescription
enhance_backgroundbooleanEnhance background with Real-ESRGAN (default: true)
image_base64stringyesBase64-encoded image data containing one or more faces.
upscaleintegerOutput upscale factor: 1-4 (default: 2)

No output schema declared.

No examples provided.

upscale_image ~227

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

NameTypeReqDescription
image_base64stringyesBase64-encoded image data. Supports PNG, JPEG, and WebP formats.
scaleintegerUpscale factor: 2 or 4 (default: 4)

No output schema declared.

No examples provided.