ElevenLabs Voice-to-Voice Agent
An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.
README
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 |
Prerequisites
- Node.js ≥ 18
- sox (for microphone recording in
/voicemode)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_texttool → transcript text- LLM (with
VOICE_SYSTEMprompt) → text response +text_to_speechcall text_to_speechtool → MP3 fileafplay/mpg123→ audio plays from speakers- Loop back to step 1
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。