What is ElevenLabs MCP Server?
The ElevenLabs MCP Server connects the advanced text-to-speech (TTS) and speech-to-text (STT) capabilities of ElevenLabs to any agentic system using the Model Context Protocol (MCP). This server acts as a voice interface layer—allowing LLM agents to seamlessly speak aloud, listen to audio, and engage in natural-sounding spoken dialogue with users.
Whether you’re building an AI-powered assistant, game character, customer support bot, or accessibility tool, this integration unlocks rich, real-time audio interaction through ElevenLabs’ industry-leading voice AI.
ElevenLabs MCP Server Key Features
- Text-to-Speech (TTS):
Convert agent-generated responses into ultra-realistic human voice using ElevenLabs’ API. - Speech-to-Text (STT):
Transcribe spoken input into text so agents can “listen” and respond meaningfully. - MCP-Compatible:
Plug directly into any MCP-based LLM agent framework such as OpenAI’s Agent SDK, LangChain, CrewAI, or Vercel AI SDK. - Multilingual & Expressive:
Support for multiple languages, accents, and emotional tones—perfect for global or character-based applications. - Modular Design:
Use only the parts you need—TTS, STT, or both—within your agent workflows.
Installation guide
- Clone the Repository
git clone https://github.com/elevenlabs/elevenlabs-mcp cd elevenlabs-mcp
- Configure API Key
Sign up at elevenlabs.io and set your API key in the environment. - Run the Server
Follow the quick start guide in the README to launch the MCP server and connect to your agent framework. - Integrate With Agents
Add this server as a voice-capable context provider in your MCP workflow configuration.
Use Cases of ElevenLabs MCP Server
Voice AI Assistants: Allow agents to speak to users in natural tones.
Game NPCs: Create immersive in-game characters that can talk and listen in real time.
Accessibility Tools: Build voice-driven UIs for users with visual or motor impairments.
Voice Storytelling: Generate dynamic audiobooks or AI-generated stories with emotional expression.
Conversational UX: Enable fully voice-operated applications powered by LLMs.
