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mamertofabian

ElevenLabs MCP Server

list_voices

Retrieve available voice options with metadata from ElevenLabs text-to-speech service to select appropriate voices for audio generation.

Instructions

Get a list of all available ElevenLabs voices with metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Handler for the 'list_voices' tool within the call_tool dispatcher. Retrieves voices from database cache, refreshes via ElevenLabs API if needed, marks default voice, and returns JSON list.
    elif name == "list_voices": try: # Get voices from cache voices, needs_refresh = await self.db.get_voices() # Refresh cache if needed if needs_refresh: try: fresh_voices = await asyncio.to_thread(self.api.get_voices) await self.db.upsert_voices(fresh_voices) voices = fresh_voices except Exception as e: logging.error(f"Error refreshing voices: {e}") # Continue with cached data if refresh fails if not voices: raise # Re-raise if we have no data at all # Ensure default voice is marked for voice in voices: voice["is_default"] = voice["voice_id"] == self.api.voice_id return [types.TextContent( type="text", text=json.dumps(voices, indent=2) )] except Exception as e: return [types.TextContent( type="text", text=json.dumps({"error": str(e)}, indent=2) )]
  • Registration of the 'list_voices' tool in the list_tools() response, including description and empty input schema.
    types.Tool( name="list_voices", description="Get a list of all available ElevenLabs voices with metadata", inputSchema={ "type": "object", "properties": {}, # No parameters needed "required": [] } ),
  • Input schema for 'list_voices' tool: empty object with no required properties.
    inputSchema={ "type": "object", "properties": {}, # No parameters needed "required": [] }

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