RMCP.DEV

← sats4ai.com

INDIVIDUAL MCP TOOL

detect_nsfw

Classify image safety (normal / suggestive / explicit).

sats4ai.comnone authenticationAvailability not checked

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 endpoint

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.sats4ai-mcp]
url = "https://sats4ai.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "sats4ai-mcp": {
      "type": "http",
      "url": "https://sats4ai.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: sats4ai-mcp
Remote MCP URL: https://sats4ai.com/api/mcp

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": {
    "sats4ai-mcp": {
      "url": "https://sats4ai.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "sats4ai-mcp": {
      "type": "http",
      "url": "https://sats4ai.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "sats4ai-mcp",
  "transport": "streamable-http",
  "url": "https://sats4ai.com/api/mcp"
}

MCP Inspector

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

Related tools

create_payment — Create a Lightning invoice to pay for one AI service call.
check_payment_status — Check whether a Lightning invoice has been paid.
generate_image — Generate an image from a text prompt.
generate_video — Generate cinematic video from a text prompt.
animate_image — Animate a still image into cinematic video with ByteDance Seedance 2.0 — provide a first frame (optionally a last frame) and a prompt to direct the motion.
check_job_status — Poll the status of an async job.
get_job_result — Retrieve the final output of a completed async job.
await_result — Wait for an async job to finish and return its result in ONE call — no manual polling loop.