Media
Extract audio/video metadata as JSON with ffprobe.
Call this tool from your code in three languages.
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/media-metadata-to-json' \
-H 'Content-Type: application/json' \
-d '{"filename":"mediaFile.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/media-metadata-to-json' \
-F 'mediaFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/media-metadata-to-json| Name | Type | Required | Description |
|---|---|---|---|
| mediaFile | fileupload required | Yes | — |
JSON result
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-media-metadata-to-json": {
"name": "media-metadata-to-json",
"description": "Extract audio/video metadata as JSON with ffprobe.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=media-metadata-to-json",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "media-metadata-to-json",
"arguments": {
"mediaFile": "https://example.com/file.ext"
}
}
}Questions or issues? Contact [email protected]