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MCP Documentation

MCP AI Song Detector Server

The AI Song Detector MCP server lets AI applications — from autonomous agents to chatbots and other assistants — check whether an audio file contains AI-generated music directly from a conversation, without writing any API integration code.

It wraps the same detection capability described in the API Documentation: submit a song, get back whether it is AI-generated, a confidence score, and the predicted generation platform (e.g. Suno, Udio). The model produces one prediction for the entire file.

The MCP server is available at:

https://mcp.pex.com/mcp

MCP Tools

The server exposes two tools:

  • detect_ai_song_from_url — Detects whether audio retrieved from a URL is AI-generated.

    • url (string) — publicly accessible URL of the audio file.

  • detect_ai_song_from_base64 — Detects whether base64-encoded audio is AI-generated.

    • file_contents (string) — base64-encoded audio data.
    • ⚠️ Use only for small files. The base64-encoded audio is passed through the model's context window, so anything but a small clip can quickly exhaust the available tokens and cause the request to fail. For larger files, prefer detect_ai_song_from_url.

Both tools return a JSON object with the same fields as the API — is_ai, ai_score, predicted_model, and more. See Response Format for details.

MCP Authentication

The MCP server uses OAuth 2.0. When you add the connector to your AI agent, you will be asked for a Client ID and Client Secret, and the agent will show an authorization consent page.

To obtain a Client ID and Client Secret, please contact our sales team.

Authorization has been tested with the following clients:

  • Claude
  • Grok — set Token Auth Method to client_secret_post or client_secret_basic
  • Gemini CLI
  • ChatGPT

AI Song Detector Skill

For agents that support skills, the AI Song Detector skill provides a ready-made way to detect AI-generated music, including at scale.

The skill teaches the agent how to authenticate, submit single files or URLs, and interpret the results. It also bundles helpers for batch processing:

  • scripts/detect.py — a batch CLI that handles authentication, retries, and result persistence.
  • references/client-code-examples.md — curl and Python examples.

It builds on the same API, so all file constraints, status codes, and response fields apply.

Support

If you encounter problems, please contact your Vobile representative. See the API Documentation for the details to include in your report.