INDIVIDUAL MCP TOOL

get_scan_report

Retrieves a completed forensic scan report or live processing status using a unique Scan ID returned by inspect_media_provenance or analyze_text_authenticity when a job was queued for async processing.

aiidentifiers.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://aiidentifiers.com/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_scan_report 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

aiidentifiers.com

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.ai-identifiers]
url = "https://aiidentifiers.com/api/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-identifiers
Remote MCP URL: https://aiidentifiers.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": {
    "ai-identifiers": {
      "url": "https://aiidentifiers.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

Related tools

detect_text — Detect whether raw text was written by an AI model (GPT-5, Claude, Gemini, Llama, Mistral, and 50+ others).
detect_url — Detect AI-generated content at a publicly accessible URL.
detect_file — Detect AI-generated content in a base64-encoded file.
get_recent_analyses — Retrieve the most recent AI detection results for the authenticated user.
get_job_status — Check the status of a queued detection job.
analyze_text_authenticity — Scans raw text input to detect AI generation markers, perplexity anomalies, and synthetic writing patterns.
inspect_media_provenance — Extracts EXIF metadata, deepfake visual artifacts, and digital watermark provenance from an image URL or base64 data URI.
analyze_content — Analyze any text for AI-generation signals, readability, and structural integrity.