Image To Video

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

WRITEffmpeg.image_to_video

• Contract tier: agent_ready
• Risk: write
• Catalog version: 2026-07-12.3
• Descriptor hash: d627c9dbb40df7773fda3a7760bfac7e4add5cc338833963cf42bac518e5908b

Use this to turn one staged image into a fixed-duration video canvas. It queues a new asset with bounded duration, dimensions, frame rate, and background color.

Request Body

{
  "jsonrpc": "2.0",
  "id": "ffmpeg-image-to-video-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.image_to_video",
    "arguments": {
      "asset_id": "asset_id_123",
      "fps": "",
      "width": "",
      "height": "",
      "priority": "",
      "duration_sec": "",
      "background_color": ""
    }
  }
}

Arguments Schema

{
  "type": "object",
  "required": [
    "asset_id"
  ],
  "properties": {
    "fps": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "description": "Optional positive output frame rate in frames per second."
    },
    "width": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "description": "Optional positive output width in pixels."
    },
    "height": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "description": "Optional positive output height in pixels."
    },
    "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."
    },
    "duration_sec": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "description": "Optional output duration in seconds."
    },
    "background_color": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "FFmpeg-compatible safe color name or value for unused canvas space."
    }
  },
  "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-image-to-video-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.image_to_video",
    "arguments": {
      "asset_id": "asset_id_123",
      "fps": "",
      "width": "",
      "height": "",
      "priority": "",
      "duration_sec": "",
      "background_color": ""
    }
  }
}'

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-image-to-video-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.image_to_video",
    "arguments": {
      "asset_id": "asset_id_123",
      "fps": "",
      "width": "",
      "height": "",
      "priority": "",
      "duration_sec": "",
      "background_color": ""
    }
  }
}),
});
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-image-to-video-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.image_to_video",
    "arguments": {
      "asset_id": "asset_id_123",
      "fps": "",
      "width": "",
      "height": "",
      "priority": "",
      "duration_sec": "",
      "background_color": ""
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool ffmpeg.image_to_video executed successfully.",
  "note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}

502 Upstream Error

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "Upstream MCP returned a non-success status."
}