Media
Detect and list the start and end times of silent parts
Call this tool from your code in three languages.
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/audio-silence-detector' \
-F 'file=@/path/to/audioFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/audio-silence-detector' \
-F 'audioFile=/path/to/file.ext' \
-F 'thresholdDb=-50' \
-F 'minSilence=0.5'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/audio-silence-detector| Name | Type | Required | Description |
|---|---|---|---|
| audioFile | fileupload required | Yes | — |
| thresholdDb | number | No | — |
| minSilence | number | No | — |
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-audio-silence-detector": {
"name": "audio-silence-detector",
"description": "Detect and list the start and end times of silent parts",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=audio-silence-detector",
"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": "audio-silence-detector",
"arguments": {
"audioFile": "https://example.com/file.ext",
"thresholdDb": -50,
"minSilence": 0.5
}
}
}Questions or issues? Contact [email protected]