← apick.app

INDIVIDUAL MCP TOOL

nsfw_detection

Detect whether an image contains NSFW (violent or sexually explicit) content and return an nsfw_score.

apick.appnone authenticationAvailability not checked

LIVE ENDPOINT

https://apick.app/mcp/vision

No auth detected

Connect to this endpoint to inspect the live schema for nsfw_detection and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

apick.app

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.app-apick-vision]
url = "https://apick.app/mcp/vision"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "app-apick-vision": {
      "type": "http",
      "url": "https://apick.app/mcp/vision"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: app-apick-vision
Remote MCP URL: https://apick.app/mcp/vision

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "app-apick-vision": {
      "url": "https://apick.app/mcp/vision"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "app-apick-vision": {
      "type": "http",
      "url": "https://apick.app/mcp/vision"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "app-apick-vision",
  "transport": "streamable-http",
  "url": "https://apick.app/mcp/vision"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • image_similarity — Compare a base image with another image and return a similarity score.
  • video_to_mp3 — Extract the audio track of a video file as an MP3 file.
  • extract_video_thumbnail — Extract preview thumbnail images from a video at regular intervals and return them as a ZIP file.
  • word_cloud — Generate a word cloud image (JPEG) from input text, sizing each word by frequency.
  • person_detection — Detect people in an image and return their bounding boxes.
  • car_detection — Detect vehicles (cars, motorcycles, bicycles, trucks, etc.
  • face_detection — Detect faces in an image and return their coordinates.