ElevenLabs MCP Server

ElevenLabs MCP Server

Mirror of

MCP-Mirror

Research & Data
Visit Server

README

ElevenLabs MCP Server

A Model Context Protocol (MCP) server that integrates with ElevenLabs text-to-speech API, featuring both a server component and a sample web-based MCP Client (SvelteKit) for managing voice generation tasks.

Features

  • Generate audio from text using ElevenLabs API
  • Support for multiple voices and script parts
  • SQLite database for persistent history storage
  • Sample SvelteKit MCP Client for:
    • Simple text-to-speech conversion
    • Multi-part script management
    • Voice history tracking and playback
    • Audio file downloads

Installation

Using uvx (recommended)

When using uvx, no specific installation is needed.

Add the following configuration to your MCP settings file (e.g., cline_mcp_settings.json for Claude Desktop):

{
  "mcpServers": {
    "elevenlabs": {
      "command": "uvx",
      "args": ["elevenlabs-mcp-server"],
      "env": {
        "ELEVENLABS_API_KEY": "your-api-key",
        "ELEVENLABS_VOICE_ID": "your-voice-id",
        "ELEVENLABS_MODEL_ID": "eleven_flash_v2",
        "ELEVENLABS_STABILITY": "0.5",
        "ELEVENLABS_SIMILARITY_BOOST": "0.75",
        "ELEVENLABS_STYLE": "0.1",
        "ELEVENLABS_OUTPUT_DIR": "output"
      }
    }
  }
}

Development Installation

  1. Clone this repository
  2. Install dependencies:
    uv venv
    
  3. Copy .env.example to .env and fill in your ElevenLabs credentials
{
  "mcpServers": {
    "elevenlabs": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/elevenlabs-mcp-server",
        "run",
        "elevenlabs-mcp-server"
      ],
      "env": {
        "ELEVENLABS_API_KEY": "your-api-key",
        "ELEVENLABS_VOICE_ID": "your-voice-id",
        "ELEVENLABS_MODEL_ID": "eleven_flash_v2",
        "ELEVENLABS_STABILITY": "0.5",
        "ELEVENLABS_SIMILARITY_BOOST": "0.75",
        "ELEVENLABS_STYLE": "0.1",
        "ELEVENLABS_OUTPUT_DIR": "output"
      }
    }
  }
}

Using the Sample SvelteKit MCP Client

  1. Navigate to the web UI directory:
    cd clients/web-ui
    
  2. Install dependencies:
    pnpm install
    
  3. Copy .env.example to .env and configure as needed
  4. Run the web UI:
    pnpm dev
    
  5. Open http://localhost:5174 in your browser

Available Tools

  • generate_audio_simple: Generate audio from plain text using default voice settings
  • generate_audio_script: Generate audio from a structured script with multiple voices and actors
  • delete_job: Delete a job by its ID
  • get_audio_file: Get the audio file by its ID
  • list_voices: List all available voices
  • get_voiceover_history: Get voiceover job history. Optionally specify a job ID for a specific job.

Available Resources

  • voiceover://history/{job_id}: Get the audio file by its ID
  • voiceover://voices: List all available voices

License

This project is licensed under the MIT License - see the LICENSE file for details.

Recommended Servers

Crypto Price & Market Analysis MCP Server

Crypto Price & Market Analysis MCP Server

A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface.

Featured
TypeScript
MCP PubMed Search

MCP PubMed Search

Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature). I have created on a day MCP came out but was on vacation, I saw someone post similar server in your DB, but figured to post mine.

Featured
Python
dbt Semantic Layer MCP Server

dbt Semantic Layer MCP Server

A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.

Featured
TypeScript
mixpanel

mixpanel

Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.

Featured
TypeScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Featured
Python
Nefino MCP Server

Nefino MCP Server

Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.

Official
Python
Vectorize

Vectorize

Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.

Official
JavaScript
Mathematica Documentation MCP server

Mathematica Documentation MCP server

A server that provides access to Mathematica documentation through FastMCP, enabling users to retrieve function documentation and list package symbols from Wolfram Mathematica.

Local
Python
kb-mcp-server

kb-mcp-server

An MCP server aimed to be portable, local, easy and convenient to support semantic/graph based retrieval of txtai "all in one" embeddings database. Any txtai embeddings db in tar.gz form can be loaded

Local
Python
Research MCP Server

Research MCP Server

The server functions as an MCP server to interact with Notion for retrieving and creating survey data, integrating with the Claude Desktop Client for conducting and reviewing surveys.

Local
Python