ElevenLabs MCP Server

ElevenLabs MCP Server

An official Model Context Protocol (MCP) server that enables AI clients to interact with ElevenLabs' Text to Speech and audio processing APIs, allowing for speech generation, voice cloning, audio transcription, and other audio-related tasks.

Category
Visit Server

README

export

<div class="title-block" style="text-align: center;" align="center">

Discord Community Twitter PyPI Tests

</div>

<p align="center"> Official ElevenLabs <a href="https://github.com/modelcontextprotocol">Model Context Protocol (MCP)</a> server that enables interaction with powerful Text to Speech and audio processing APIs. This server allows MCP clients like <a href="https://www.anthropic.com/claude">Claude Desktop</a>, <a href="https://www.cursor.so">Cursor</a>, <a href="https://codeium.com/windsurf">Windsurf</a>, <a href="https://github.com/openai/openai-agents-python">OpenAI Agents</a> and others to generate speech, clone voices, transcribe audio, and more. </p>

Quickstart with Claude Desktop

  1. Get your API key from ElevenLabs. There is a free tier with 10k credits per month.
  2. Install uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh or see the uv repo for additional install methods.
  3. Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:
{
  "mcpServers": {
    "ElevenLabs": {
      "command": "uvx",
      "args": ["elevenlabs-mcp"],
      "env": {
        "ELEVENLABS_API_KEY": "<insert-your-api-key-here>"
      }
    }
  }
}

If you're using Windows, you will have to enable "Developer Mode" in Claude Desktop to use the MCP server. Click "Help" in the hamburger menu at the top left and select "Enable Developer Mode".

Other MCP clients

For other clients like Cursor and Windsurf, run:

  1. pip install elevenlabs-mcp
  2. python -m elevenlabs_mcp --api-key={{PUT_YOUR_API_KEY_HERE}} --print to get the configuration. Paste it into appropriate configuration directory specified by your MCP client.

That's it. Your MCP client can now interact with ElevenLabs through these tools:

Example usage

⚠️ Warning: ElevenLabs credits are needed to use these tools.

Try asking Claude:

  • "Create an AI agent that speaks like a film noir detective and can answer questions about classic movies"
  • "Generate three voice variations for a wise, ancient dragon character, then I will choose my favorite voice to add to my voice library"
  • "Convert this recording of my voice to sound like a medieval knight"
  • "Create a soundscape of a thunderstorm in a dense jungle with animals reacting to the weather"
  • "Turn this speech into text, identify different speakers, then convert it back using unique voices for each person"

Optional features

You can add the ELEVENLABS_MCP_BASE_PATH environment variable to the claude_desktop_config.json to specify the base path MCP server should look for and output files specified with relative paths.

Contributing

If you want to contribute or run from source:

  1. Clone the repository:
git clone https://github.com/elevenlabs/elevenlabs-mcp
cd elevenlabs-mcp
  1. Create a virtual environment and install dependencies using uv:
uv venv
source .venv/bin/activate
uv pip install -e ".[dev]"
  1. Copy .env.example to .env and add your ElevenLabs API key:
cp .env.example .env
# Edit .env and add your API key
  1. Run the tests to make sure everything is working:
./scripts/test.sh
# Or with options
./scripts/test.sh --verbose --fail-fast
  1. Install the server in Claude Desktop: mcp install elevenlabs_mcp/server.py

  2. Debug and test locally with MCP Inspector: mcp dev elevenlabs_mcp/server.py

Troubleshooting

Logs when running with Claude Desktop can be found at:

  • Windows: %APPDATA%\Claude\logs\mcp-server-elevenlabs.log
  • macOS: ~/Library/Logs/Claude/mcp-server-elevenlabs.log

Timeouts when using certain tools

Certain ElevenLabs API operations, like voice design and audio isolation, can take a long time to resolve. When using the MCP inspector in dev mode, you might get timeout errors despite the tool completing its intended task.

This shouldn't occur when using a client like Claude.

MCP ElevenLabs: spawn uvx ENOENT

If you encounter the error "MCP ElevenLabs: spawn uvx ENOENT", confirm its absolute path by running this command in your terminal:

which uvx

Once you obtain the absolute path (e.g., /usr/local/bin/uvx), update your configuration to use that path (e.g., "command": "/usr/local/bin/uvx"). This ensures that the correct executable is referenced.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured