ElevenLabs MCP Server

@MCP-Mirror

关于 ElevenLabs MCP Server

Mirror of

#elevenlabs #text-to-speech #audio-generation

基本信息

分类

其他

传输方式

stdio

发布者

MCP-Mirror

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mamertofabian_elevenlabs-mcp-server": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

工具

6

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.

概览

What is ElevenLabs MCP Server?

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.

How to use ElevenLabs MCP Server?

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.

Key features of ElevenLabs MCP Server

Generate audio from text using ElevenLabs API
Support for multiple voices and script parts
SQLite database for persistent history storage
Voice history tracking and playback
Audio file downloads
Sample SvelteKit MCP Client included

Use cases of ElevenLabs MCP Server

Convert plain text to speech with default voice settings
Generate audio from structured scripts with multiple voices and actors
Manage and delete voiceover jobs
List available voices and retrieve audio files

FAQ from ElevenLabs MCP Server

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.

What resources are available?

Resources include voiceover://history/{job_id} to get an audio file by ID and voiceover://voices to list all available voices.

What runtime dependencies are required?

Python with uv (for uvx) or a local development environment with uv and pnpm for the web UI. An ElevenLabs API key is required.

Where is voiceover history stored?

Voiceover history is persisted in a SQLite database included with the server.

What transport or authentication is used?

The server uses environment variables (ELEVENLABS_API_KEY) for authentication and communicates via standard MCP transport (stdio).

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