Extract Audio

Immutable Catalog + Curated Guide

This lossless descriptor comes from the active Portal catalog and is enhanced with reviewed examples.

WRITEffmpeg.ffmpeg_extract_audio

• Contract tier: agent_ready
• Risk: write
• Catalog version: 2026-07-12.3
• Descriptor hash: bac6cbe126e341c5aafea7e379ee14f71bfd6ef6424fbf4c698165d09813a1a0

Create an audio-only export from source media.

Request Body

{
  "jsonrpc": "2.0",
  "id": "ffmpeg-ffmpeg-extract-audio-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.ffmpeg_extract_audio",
    "arguments": {
      "source_url": "https://cdn.example.com/video/interview.mp4",
      "audio_format": "mp3",
      "bitrate": "128k"
    }
  }
}

Arguments Schema

{
  "type": "object",
  "required": [
    "asset_id",
    "format"
  ],
  "properties": {
    "format": {
      "type": "string",
      "description": "Requested supported output format for extracted audio."
    },
    "bitrate": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Optional FFmpeg bitrate string accepted by the bounded operation."
    },
    "asset_id": {
      "type": "string",
      "description": "Stable ID of one staged FFmpeg media asset."
    },
    "priority": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Optional queue priority configured by the server, such as urgent or batch."
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "required": [
    "job_id",
    "cache_hit"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "Stable ID used with the job readback tools."
    },
    "cache_hit": {
      "type": "boolean",
      "description": "Whether a matching completed result was reused."
    },
    "output_asset_ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Completed output asset IDs when immediately available from cache."
    }
  },
  "additionalProperties": false
}

Code Examples

cURL

curl -X POST 'https://portal.madpanda3d.com/api/mcp' \
  -H 'Authorization: Bearer mad_live_***' \
  -H 'Content-Type: application/json' \
  -d '{
  "jsonrpc": "2.0",
  "id": "ffmpeg-ffmpeg-extract-audio-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.ffmpeg_extract_audio",
    "arguments": {
      "source_url": "https://cdn.example.com/video/interview.mp4",
      "audio_format": "mp3",
      "bitrate": "128k"
    }
  }
}'

Node.js

const response = await fetch('https://portal.madpanda3d.com/api/mcp', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer mad_live_***',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "jsonrpc": "2.0",
  "id": "ffmpeg-ffmpeg-extract-audio-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.ffmpeg_extract_audio",
    "arguments": {
      "source_url": "https://cdn.example.com/video/interview.mp4",
      "audio_format": "mp3",
      "bitrate": "128k"
    }
  }
}),
});
const data = await response.json();
console.log(data);

Python

import requests

url = 'https://portal.madpanda3d.com/api/mcp'
headers = {
    'Authorization': 'Bearer mad_live_***',
    'Content-Type': 'application/json',
}
payload = {
  "jsonrpc": "2.0",
  "id": "ffmpeg-ffmpeg-extract-audio-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.ffmpeg_extract_audio",
    "arguments": {
      "source_url": "https://cdn.example.com/video/interview.mp4",
      "audio_format": "mp3",
      "bitrate": "128k"
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "output_url": "https://cdn.example.com/output/interview.mp3"
}

500 Processing Failure

{
  "ok": false,
  "error": "processing_failed",
  "message": "ffmpeg exited with code 1"
}