{
  "markdown": "# Voxtral TTS MCP Server\n\n> Voxtral TTS Online Free Text to Speech & Voice Clone Speech\n\n[![MCP Badge](https://lobehub.com/badge/mcp/rocnubie-voxtraltts-mcp)](https://lobehub.com/mcp/rocnubie-voxtraltts-mcp)\n[![Node](https://img.shields.io/badge/node-%3E%3D18-339933?logo=node.js&logoColor=white)](https://nodejs.org)\n[![smithery](https://smithery.ai/badge/voxtraltts)](https://smithery.ai)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE)\n[![Read Only](https://img.shields.io/badge/server-read--only-2ea44f)](#tools)\n[![Zero Config](https://img.shields.io/badge/setup-zero--config-7c3aed)](#installation)\n[![MCP](https://img.shields.io/badge/MCP-1.0-blue)](https://modelcontextprotocol.io)\n\n<p align=\"center\"><a href=\"https://voxtraltts.online\"><img src=\"./assets/hero.svg\" alt=\"Voxtral TTS\" width=\"720\" /></a></p>\n\nA Model Context Protocol server that exposes the canonical Voxtral TTS knowledge surface — voice and TTS workflows, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.\n\nOfficial website: https://voxtraltts.online\n\n## 🎙️ About Voxtral TTS\n\nVoxtral TTS is Mistral AI's text-to-speech platform, accessible at voxtraltts.online, that converts written text into realistic, emotionally expressive speech across nine languages. Built on a 3.4-billion-parameter transformer decoder backbone paired with a flow-matching acoustic transformer and a neural audio codec, the system is designed for production environments where voice quality, low latency, and speaker consistency across languages all matter. The service is available as a hosted API at $0.016 per 1,000 characters, and the underlying model weights are also published on Hugging Face for teams that prefer self-hosted deployment. Whether you need a single narrator voice that holds up across French and Arabic, or a real-time voice agent that responds in under 100 milliseconds, Voxtral TTS is built to cover that range.\n\n## Key Features\n\n- **Low-latency inference**: The model delivers approximately 70 ms latency with a real-time factor of around 9.7x, making it suitable for interactive voice applications and live agents rather than just batch narration jobs.\n- **Zero-shot voice cloning**: A 3-to-25-second reference audio clip is enough to adapt the model to a custom speaker identity, with no fine-tuning pipeline required.\n- **Cross-lingual speaker consistency**: The same cloned voice can be reused across all nine supported languages — English, French, German, Spanish, Dutch, Portuguese, Italian, Hindi, and Arabic — without losing the speaker's characteristic sound.\n- **Emotional style control**: Outputs can be guided toward distinct expressive styles including neutral, happy, and sarcastic, giving teams control over tone without recording separate voice assets.\n- **Built-in voice library**: A set of ready-to-use named voices (Margaret, Paul, Marie, Oliver, and others) lets teams get started immediately without providing reference audio.\n- **Flexible deployment**: The API integrates directly through Mistral Studio and standard REST endpoints; the open-source weights option allows air-gapped or on-premise deployments for compliance-sensitive environments.\n\n## Use Cases\n\n- **Customer support automation**: Generate voice responses for IVR systems, automated routing menus, and support bots that need to sound consistent across long sessions and multiple languages.\n- **Product onboarding and explainer narration**: Turn documentation, tooltips, or walkthrough scripts into spoken audio without recording studio sessions, and update the audio as fast as you update the text.\n- **Multilingual marketing and localization**: Produce regional campaign audio from a single script using the same speaker voice across language variants, keeping brand voice coherent in every market.\n- **Real-time voice agents**: Power conversational AI agents, virtual assistants, or phone bots where the round-trip from text to audible speech needs to stay well under a second.\n- **Regulated-industry workflows**: Use the self-hosted model weights to run speech synthesis entirely within a private infrastructure, meeting data residency requirements in financial services, healthcare, or manufacturing contexts.\n\n## Who Is It For\n\nVoxtral TTS is aimed at product teams, engineers, and growth operators who are building voice features into applications rather than looking for a one-off audio tool. The API-first design and per-character pricing model suit developers who want to integrate TTS into a larger pipeline — whether that is a customer-facing chatbot, a localization workflow, or an internal voice agent. The zero-shot cloning capability and cross-lingual consistency make it especially useful for teams serving multilingual audiences who cannot afford to maintain separate voice recordings per language. Teams in regulated industries benefit from the open-source weight option, which lets them run inference entirely on their own infrastructure.\n\n## Tools\n\n### `list_voices`\nReturn the canonical voice and TTS configuration exposed on the site. (Voxtral TTS)\n\n_Input:_ no parameters. _Returns:_ text/markdown.\n\n### `get_official_links`\nReturn the canonical list of official links for Voxtral TTS (website, support, docs when available).\n\n_Input:_ no parameters. _Returns:_ text/markdown.\n\n## Resources\n\n- `site://voxtraltts/voices` — Supported voices, languages, and TTS modes.\n- `site://voxtraltts/faq` — Short FAQ generated from public site metadata.\n- `site://voxtraltts/links` — Canonical URLs to share with users.\n\n## Prompts\n\n### `tell_me_about_voxtraltts`\nSummarize what the site is, who it's for, and how it works. — Voxtral TTS\n\n### `read_aloud_demo_voxtraltts`\nPlan a read-aloud workflow with the site's voices. — Voxtral TTS\n\n## Installation\n\n### Install via Smithery\n\n```bash\nnpx -y @smithery/cli install voxtraltts-mcp --client claude\n```\n\n(Replace `claude` with `cursor`, `windsurf`, or `continue` for those clients.)\n\n### Install from source\n\n```bash\ngit clone https://github.com/rocnubie/voxtraltts-mcp.git\ncd voxtraltts-mcp\npnpm install\n```\n\nThen add to your MCP client config (`claude_desktop_config.json` for Claude Desktop, `mcp.json` for Cursor / Windsurf / Continue):\n\n```json\n{\n  \"mcpServers\": {\n    \"voxtraltts-mcp\": {\n      \"command\": \"node\",\n      \"args\": [\n        \"/absolute/path/to/voxtraltts-mcp/src/index.mjs\"\n      ]\n    }\n  }\n}\n```\n\n### Debug with MCP Inspector\n\n```bash\nnpx @modelcontextprotocol/inspector node src/index.mjs\n```\n\n## Official Links\n\n- Website: https://voxtraltts.online\n- Support: support@voxtraltts.online\n\n## Development\n\n```bash\npnpm install\npnpm start                 # run the server over stdio\n```\n\n## License\n\nMIT\n",
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