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Registry/Elevenlabs MCP Server

Elevenlabs MCP Server

Verified

The official ElevenLabs MCP server

MIT
other
other
1.5Kstars
256forks
Scanned Nov 1, 2026
WebsiteRepositoryGITHUB
Automated scan (limited checks) · 2026-11-01

This grade comes from an automated MCPSafe scan of the server's JavaScript, TypeScript and Python source on 2026-11-01. It read the whole repository (11 files). It checks for leaked credentials, shell or code injection from function inputs, unsafe deserialization, malware signatures, install-time scripts, and weak password handling. It does not check for path traversal, server-side request forgery, prompt injection in tool descriptions, network exposure, SQL injection, cross-site scripting, or vulnerable dependencies. It has not been manually reviewed, and the code may have changed since the scan.

A+100%
Scanned 4d ago

Excellent Security

Vulnerabilities Found
0Crit
0High
0Med
0Low
0Info

Trust Score 81

Review required
Trust grade B

Trust is stricter than security: it combines reviewed security, MCP capability risk, supply-chain metadata, quality, popularity, freshness, and penalties for unknowns.

Security
100
MCP risk
52
Supply chain
92
Maintenance
58
Docs
95
Freshness
100
Risk traits
Runs shell commands
Filesystem access
Network/API access
Requires secrets
Why it scores well
  • • No reviewed severe vulnerabilities published
  • • Good documentation surface
  • • Solid supply-chain metadata
  • • Recently scanned
What reduces confidence
  • • MCP risk traits: Runs shell commands, Filesystem access, Network/API access

Security ScoreA+

100
out of 100

Vulnerabilities Found

0
Crit
0
High
0
Medi
0
Low
0
Info
Last scanned: 11/1/2026

Quality ScoreC

69
out of 100
58
Maint.
48
Popular
95
Docs
72
Compat
Maintenance58%
Popularity48%
Documentation95%
Compatibility72%

Maintenance58

Unknown
Commit Frequency65%
Release Frequency35%
Issue Response80%

Popularity48

1.5K
Stars
0
Downloads
256
Forks
Stars Score89%
Downloads Score0%
Forks Score84%

Documentation95

README Quality100%

Available Documentation

API DocsExamplesChangelog

Compatibility72

MCP Spec Compliance80%
Transport Support75%

Features

TypeScript

Supported Transports

STDIO

Vulnerabilities(0)

This grade comes from an automated scan. Individual findings from automated scans are not published.

READMEElevenlabs MCP Server

View source

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[!WARNING]
This local MCP server is deprecated in favor of the [ElevenLabs hosted MCP server](https://elevenlabs.io/docs/agents-platform/operate/hosted-mcp).
The hosted server is available at https://api.elevenlabs.io/v1/mcp, with nothing to install or run locally. It authenticates with OAuth, so no API keys are copied into your client. See the hosted MCP server documentation to connect from Claude, Cursor, or any other MCP client.
This repository is no longer actively maintained.

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

![Discord Community](https://discord.gg/elevenlabs)

![Twitter](https://x.com/ElevenLabsDevs)

![PyPI](https://pypi.org/project/elevenlabs-mcp)

![Tests](https://github.com/elevenlabs/elevenlabs-mcp-server/actions/workflows/test.yml)

</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>

<!--

mcp-name: io.github.elevenlabs/elevenlabs-mcp

-->

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 > claudedesktopconfig.json to include the following:
plaintext
{
  "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

File Output Configuration

You can configure how the MCP server handles file outputs using these environment variables in your claude_desktop_config.json:

  • **ELEVENLABS_MCP_BASE_PATH: Specify the base path for file operations (default: `~/Desktop`). This directory is also the security boundary for input** files: any path passed to a tool that reads a local file (e.g. speech_to_text, isolate_audio, speech_to_speech, video_to_music, upload_music_for_inpainting) must resolve inside this directory, whether given as an absolute or relative path. Paths outside it — even if absolute and previously accepted — are rejected. Set this to a directory that contains everything you need to read from or write to.
  • **ELEVENLABS_MCP_OUTPUT_MODE**: Control how generated files are returned (default: files)

Output Modes

The ELEVENLABS_MCP_OUTPUT_MODE environment variable supports three modes:

  1. `files` (default): Save files to disk and return file paths

```json

"env": {

"ELEVENLABSAPIKEY": "your-api-key",

"ELEVENLABSMCPOUTPUT_MODE": "files"

}

```

  1. `resources`: Return files as MCP resources; binary data is base64-encoded, text is returned as UTF-8 text

```json

"env": {

"ELEVENLABSAPIKEY": "your-api-key",

"ELEVENLABSMCPOUTPUT_MODE": "resources"

}

```

  1. `both`: Save files to disk AND return as MCP resources

```json

"env": {

"ELEVENLABSAPIKEY": "your-api-key",

"ELEVENLABSMCPOUTPUT_MODE": "both"

}

```

Resource Mode Benefits:

  • Files are returned directly in the MCP response as base64-encoded data
  • No disk I/O required - useful for containerized or serverless environments
  • MCP clients can access file content immediately without file system access
  • In both mode, resources can be fetched later using the elevenlabs://filename URI pattern

Use Cases:

  • files: Traditional file-based workflows, local development
  • resources: Cloud environments, MCP clients without file system access
  • both: Maximum flexibility, caching, and resource sharing scenarios

Data residency keys

You can specify the data residency region with the ELEVENLABS_API_RESIDENCY environment variable. Defaults to "us".

Note: Data residency is an enterprise only feature. See the docs for more details.

Contributing

If you want to contribute or run from source:

  1. Clone the repository:
bash
git clone https://github.com/elevenlabs/elevenlabs-mcp
cd elevenlabs-mcp
  1. Create a virtual environment and install dependencies using uv:
bash
uv venv
source .venv/bin/activate
uv pip install -e ".[dev]"
  1. Copy .env.example to .env and add your ElevenLabs API key:
bash
cp .env.example .env
# Edit .env and add your API key
  1. Run the tests to make sure everything is working:
bash
./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
  1. 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:

bash
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.

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Server Information

Source
GITHUB
Language
other
License
MIT
Transport
STDIO
Added
Aug 11, 2026
Updated
Oct 1, 2026