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ElevenLabs MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

MCP-Mirror

关于 ElevenLabs MCP Server

Mirror of

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

ElevenLabs MCP Server 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"
      ]
    }
  }
}

ElevenLabs MCP Server 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

常见问题

1

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`.

2

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.

3

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.

4

Where is voiceover history stored?

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

5

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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