INDIVIDUAL MCP TOOL

get_recent_analyses

Retrieve the most recent AI detection results for the authenticated user.

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_recent_analyses and invoke it with your own arguments.

{}

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.

CONNECT WITH APPROVAL

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.

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_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.
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.
analyze_content — Analyze any text for AI-generation signals, readability, and structural integrity.