Media
Busca actividad simultánea probable en varias bandas vocales.
Llama a esta herramienta desde tu código en tres lenguajes.
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/audio-overlap-speech-detector' \
-H 'Content-Type: application/json' \
-d '{"filename":"audioFile.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/es/api/tools/audio-overlap-speech-detector' \
-F 'audioFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'sensitivity=balanced' \
-F 'minimumOverlapSeconds=0.3'Envía una petición POST con tus entradas en JSON. Los parámetros de tipo archivo requieren una subida previa.
POST https://api.elysiatools.com/es/api/tools/audio-overlap-speech-detector| Nombre | Tipo | Obligatorio | Descripción |
|---|---|---|---|
| audioFile | filesubida requerida | Sí | — |
| sensitivity | select | No | — |
| minimumOverlapSeconds | number | No | — |
Resultado JSON
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}Añade esta herramienta a tu servidor Model Context Protocol para que los agentes de IA puedan listarla y llamarla.
Añade este bloque a la configuración de tu cliente MCP:
{
"mcpServers": {
"elysiatools-audio-overlap-speech-detector": {
"name": "audio-overlap-speech-detector",
"description": "Busca actividad simultánea probable en varias bandas vocales.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=audio-overlap-speech-detector",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}Tras conectar al endpoint SSE, lista las herramientas expuestas:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoca la herramienta por su id; los argumentos se construyen a partir de sus parámetros:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "audio-overlap-speech-detector",
"arguments": {
"audioFile": "https://example.com/file.ext",
"sensitivity": "balanced",
"minimumOverlapSeconds": 0.3
}
}
}¿Dudas o problemas? Contacta con [email protected]