What tools does ElevenLabs MCP Server provide?
Tools include `generate_audio_simple`, `generate_audio_script`, `delete_job`, `get_audio_file`, `list_voices`, and `get_voiceover_history`.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mamertofabian_elevenlabs-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}
}Generate audio from plain text using default voice settings
Generate audio from a structured script with multiple voices and actors
Delete a job by its ID
Get the audio file by its ID
List all available voices
Get voiceover job history. Optionally specify a job ID for a specific job.
ElevenLabs MCP Server is a Model Context Protocol (MCP) server that integrates with the ElevenLabs text-to-speech API. It includes a server component and a sample SvelteKit web-based MCP client for managing voice generation tasks.
Install using uvx (no specific installation needed) and add the configuration to your MCP settings file, providing your ELEVENLABS_API_KEY, ELEVENLABS_VOICE_ID, and optional parameters like ELEVENLABS_MODEL_ID. For development, clone the repository, install dependencies with uv venv, copy .env.example to .env, and fill in your credentials. To use the sample web UI, navigate to clients/web-ui, run pnpm install, configure .env, and start with pnpm dev.
Tools include `generate_audio_simple`, `generate_audio_script`, `delete_job`, `get_audio_file`, `list_voices`, and `get_voiceover_history`.
Resources include `voiceover://history/{job_id}` to get an audio file by ID and `voiceover://voices` to list all available voices.
Python with `uv` (for `uvx`) or a local development environment with `uv` and `pnpm` for the web UI. An ElevenLabs API key is required.
Voiceover history is persisted in a SQLite database included with the server.
The server uses environment variables (`ELEVENLABS_API_KEY`) for authentication and communicates via standard MCP transport (stdio).

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