Which integrations are available for this server?

Provides tools to interact with ElevenLabs voice AI, including text-to-speech, speech-to-text, voice management, and history retrieval.

How do I use ElevenLabs Voice-to-Voice Agent?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ElevenLabs Voice-to-Voice Agent start a voice session about artificial intelligence" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

ElevenLabs Voice-to-Voice Agent

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ElevenLabs Voice-to-Voice Agent — MCP Server

A full voice-to-voice AI agent built on the Model Context Protocol. Speak into your microphone, the agent thinks, and ElevenLabs speaks back — all orchestrated through MCP tools, prompts, and resources.

Works with Anthropic Claude or OpenAI GPT — no Claude Desktop required.

MCP Primitives Implemented

Tools (7)

Tool	Description
`list_voices`	List all available ElevenLabs voices
`get_voice`	Get detailed info about a specific voice
`list_models`	List available TTS/STT models
`text_to_speech`	Convert text → MP3, save to disk
`speech_to_text`	Transcribe an audio file → text
`get_user_info`	Account and character usage info
`get_history`	Retrieve generation history

Prompts (4) — prompt-centric MCP

Prompt	Args	What it does
`voice_agent_persona`	`name`, `personality`, `[voice_style]`	Creates a named agent persona; picks the best matching voice and speaks every reply aloud
`start_voice_session`	`[topic]`, `[language]`, `[voice_id]`	Initialises a live voice loop — agent listens and responds in spoken audio
`find_voice_for_role`	`role`	Lists voices, picks top 3 for the role, generates audio samples for each
`voice_showcase`	`phrase`, `[count]`	Renders the same phrase across N diverse voices for side-by-side comparison

Resources (2)

URI	Description
`elevenlabs://voices`	Live voice list — IDs, categories, labels
`elevenlabs://models`	Available TTS/STT models and capabilities

Related MCP server: ElevenLabs MCP Server

Prerequisites

Node.js ≥ 18

sox (for microphone recording in /voice mode)

brew install sox        # macOS
sudo apt install sox    # Ubuntu/Debian

An ElevenLabs API key
An LLM key: Anthropic or OpenAI

Setup

npm install
npm run build

Environment Variables

Variable	Required	Description
`ELEVENLABS_API_KEY`	Yes	ElevenLabs API key
`LLM_PROVIDER`	No	`"anthropic"` (default) or `"openai"`
`ANTHROPIC_API_KEY`	If using Anthropic	Claude API key
`OPENAI_API_KEY`	If using OpenAI	GPT API key
`ELEVENLABS_OUTPUT_DIR`	No	Where MP3 files are saved (defaults to cwd)

Export before running (the server reads from process.env directly — .env is not auto-loaded):

export ELEVENLABS_API_KEY="your-key"
export LLM_PROVIDER="anthropic"
export ANTHROPIC_API_KEY="your-key"

Usage

Start the client

npm run client

ElevenLabs Voice Agent — MCP Client (provider: anthropic)

Connected! 7 tools: list_voices, get_voice, list_models, text_to_speech, speech_to_text, get_user_info, get_history
Commands: /prompts  /prompt <name> [args]  /voice  exit

Text chat

You: List all available voices
  [tool: list_voices]
Assistant: Here are the available voices...

You: Convert "Welcome to my demo" to speech using a deep male voice
  [tool: list_voices]
  [tool: text_to_speech]
Assistant: Audio saved to: ./output_1234.mp3

List and invoke prompts

You: /prompts

Available prompts:
  voice_agent_persona — Create a voice AI agent with a specific persona...
    args: name, personality, [voice_style]
  start_voice_session — Initialize a live voice conversation...
    args: [topic], [language], [voice_id]
  find_voice_for_role — Analyze and recommend voices for a use case...
    args: role
  voice_showcase — Render a phrase in multiple voices...
    args: phrase, [count]

You: /prompt voice_agent_persona name="Aria" personality="warm and professional"
  [tool: list_voices]
  [tool: text_to_speech]
Assistant: Hi, I'm Aria! How can I help you today?
  [Audio plays automatically]

Voice conversation mode

You: /voice

[Voice Mode] The agent will listen and speak back.
[Voice Mode] Type 'exit' at any prompt to return to text mode.

Press ENTER to speak (or type 'exit'):
  Recording... Press ENTER to stop:
  Transcribing...

You: "What voices does ElevenLabs have?"
  [tool: list_voices]
  [tool: text_to_speech]
Assistant: ElevenLabs has over 30 voices...
  [Audio plays automatically]

Press ENTER to speak (or type 'exit'): exit

[Returned to text mode]

ElevenLabs API Key Permissions

When creating your API key, enable:

Permission	Setting
Text to Speech	Access
Speech to Text	Access
Voices	Read
Models	Access
History	Read
User	Read

Everything else can stay at No Access.

With Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "elevenlabs": {
      "command": "node",
      "args": ["/absolute/path/to/build/index.js"],
      "env": { "ELEVENLABS_API_KEY": "your-key" }
    }
  }
}

With Claude Code

claude mcp add elevenlabs node /absolute/path/to/build/index.js

Architecture

src/
  elevenlabs-client.ts  — ElevenLabs REST API wrapper (TTS + STT + voices + models)
  index.ts              — MCP server: 7 tools, 4 prompts, 2 resources
  client.ts             — CLI client: text REPL + /voice loop + /prompt commands

You (mic/keyboard)
    │
    ▼
client.ts ──────────────────────────────► LLM API (Claude / GPT)
    │  MCP stdio transport                       │
    ▼                                            │ tool calls
index.ts (MCP Server)  ◄────────────────────────┘
    │
    ▼
elevenlabs-client.ts ──► ElevenLabs REST API
                              (TTS + STT + voices + models)

Voice loop flow:

Mic → sox → WAV file
speech_to_text tool → transcript text
LLM (with VOICE_SYSTEM prompt) → text response + text_to_speech call
text_to_speech tool → MP3 file
afplay / mpg123 → audio plays from speakers
Loop back to step 1

License

MIT

Available Tools

7 tools

get_historyB

Retrieve the history of TTS generations from ElevenLabs.

Inputs: page_size.

get_user_infoA

Get the current ElevenLabs user/subscription info including character usage and limits.

Inputs: no named parameters.

get_voiceA

Get detailed information about a specific ElevenLabs voice by its ID.

Inputs: voice_id (required).

list_modelsA

List all available ElevenLabs TTS models with their capabilities and supported languages.

Inputs: no named parameters.

list_voicesA

List all voices available in ElevenLabs. Returns voice IDs, names, and labels.

Inputs: no named parameters.

speech_to_textA

Transcribe an audio file to text using ElevenLabs Speech-to-Text (scribe_v1). Supports WAV, MP3, and other common formats.

Inputs: file_path (required), model_id, language_code.

text_to_speechA

Convert text to speech using ElevenLabs. Saves the audio as an MP3 file and returns the file path.

Inputs: text (required), model_id, voice_id, stability, +2 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.9/5.0

Scored 2026-08-02 05:45 across 7 tools

Disambiguation5/5

Each tool targets a distinct operation: listing vs fetching voices, listing models, text-to-speech, speech-to-text, user info, and history. There is no overlap or ambiguity between them.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern like list_voices, get_voice, get_user_info, and get_history. However, text_to_speech and speech_to_text deviate from this pattern as noun-to-noun phrases, though they are internally consistent and readable.

Tool Count5/5

Seven tools is a well-scoped number for a voice/audio agent, covering core operations without bloat. The count is appropriate for the apparent purpose.

Completeness3/5

The set covers TTS, STT, voice listing, model listing, user info, and history, but notably lacks a voice-to-voice conversion tool despite the server name. Voice editing/deletion and history item management are also missing, leaving some workflows incomplete.

Maintenance

ActivityInactive

ResponsivenessNo recent community issues

Resources

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ElevenLabs Voice-to-Voice Agent — MCP Server

MCP Primitives Implemented

Tools (7)

Prompts (4) — prompt-centric MCP

Resources (2)

Prerequisites

Setup

Environment Variables

Usage

Start the client

Text chat

List and invoke prompts

Voice conversation mode

ElevenLabs API Key Permissions

With Claude Desktop

With Claude Code

Architecture

License

Available Tools

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

Blabber-MCP

ElevenLabs MCP Serverofficial

ElevenLabs MCP Server

ElevenLabs MCP Server