What are the system requirements?
Node.js, a running instance of Zonos API (PhialsBasement/zonos-api), PulseAudio properly configured, and a working audio output device.
@PhialsBasement
Basic information
MCP server that allows Claude to have a voice.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Zonos-TTS-MCP": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@PhialsBasement/zonos-tts-mcp",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol integration for Zonos TTS that allows Claude to generate speech directly. It acts as a bridge between an AI assistant (Claude) and a running Zonos API instance, enabling text-to-speech playback on the user's machine.
Install via Smithery (npx -y @smithery/cli install @PhialsBasement/zonos-tts-mcp --client claude) or manually by cloning the repo and adding the server to Claude's MCP config. Once configured, Claude automatically exposes a speak_response tool that accepts text (required), language (optional, defaults to en-us), and emotion (optional: neutral, happy, sad, angry).
Node.js, a running instance of Zonos API (PhialsBasement/zonos-api), PulseAudio properly configured, and a working audio output device.
Clone the repo, install dependencies (`npm install @modelcontextprotocol/sdk axios`), build (`npm run build`), and add the server to Claude's config file under `mcpServers` with command `node` and args pointing to `dist/server.js`.
After configuration, Claude automatically knows how to use the `speak_response` tool. Provide the text you want spoken, optionally specify language and emotion.
No, the MCP server requires a running Zonos API instance (PhialsBasement/zonos-api) to function. Both servers must be running simultaneously.
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