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ElevenLabs MCP

Text-to-speech, voice cloning, and audio generation for AI agents

AI & LLMFreemiumClaude DesktopCursorWindsurfModerate✓ Verified
Visit Tool1,536 stars

Last verified: August 2, 2026

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Maintenance status

Archived
Last code update: August 20, 2026License: MITChecked September 28, 2026

The maintainers have archived this repository (read-only, no longer updated).

How to Install ElevenLabs MCP

$uvx elevenlabs-mcp

Compatible with: Claude Desktop, Cursor, Windsurf.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "elevenlabs-mcp": {
      "command": "uvx",
      "args": [
        "elevenlabs-mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "elevenlabs-mcp": {
      "command": "uvx",
      "args": [
        "elevenlabs-mcp"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "elevenlabs-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "elevenlabs-mcp"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add elevenlabs-mcp -- uvx elevenlabs-mcp

Add any API keys or environment variables the server's README lists.

About ElevenLabs MCP

The official ElevenLabs MCP server exposes ElevenLabs' text-to-speech, voice cloning, dubbing, and audio-generation APIs to AI agents. Agents can synthesize natural speech, clone voices, and transcribe audio conversationally, making it a go-to for building voice-enabled assistants and automating audio content.

ElevenLabs MCP is a AI & LLM MCP server designed for AI engineers, researchers, and product teams. It enables orchestrating models, embeddings, and vector stores from an MCP client by normalising provider APIs into MCP tools for routing and composition. Key capabilities include multi-provider model access, embeddings and similarity search, vector store crud, and structured tool calls that work cleanly inside an LLM context. It integrates with OpenAI, Anthropic, Google, Mistral, Pinecone, Weaviate, Qdrant, and Chroma, and is best suited for AI engineers, researchers, and product teams who need multi-model routing.

Key Features

  • text-to-speech
  • voice cloning
  • audio
  • dubbing
  • Multi-provider model access
  • Embeddings and similarity search

Pricing

Freemium: from Free tier; ElevenLabs plans from $5/mo

Pros & Cons

Pros

  • Clean seam between user-facing assistant and AI plumbing
  • Swap backends without rewriting prompts
  • Surfaces cost and token usage explicitly

Cons

  • Adds another moving piece to debug
  • Cost can balloon under heavy delegation
  • Provider quirks still leak through in edge cases

Best For

  • Multi-model routing
  • Private knowledge-base queries
  • Agent-to-agent delegation
  • Cost and latency experiments

Our Take on ElevenLabs MCP

ElevenLabs MCP brings best-in-class AI voice directly into agent workflows, from TTS to cloning and dubbing. Setup needs uv/Python and an API key, and audio usage consumes credits, but the output quality is top of the market.

Frequently Asked Questions

Tags

#AI & LLM#text-to-speech#voice cloning#audio#dubbing