About Hume
Hume is an MCP server in the Other category.
Install
git clone https://github.com/HumeAI/mcp-server-humeThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (5)
delete_voiceRemove a voice from your library
Parameters not published.
list_voicesList available voices
Parameters not published.
play_previous_audioReplay previously generated audio
Parameters not published.
save_voiceSave a generated voice to your library
Parameters not published.
ttsSynthesize (and play) speech from text
Parameters not published.
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README
The Hume MCP Server gives you the the ability to use Octave Text to Speech from within an AI Chat, using an MCP Client Application such as Claude Desktop, Cursor, or Windsurf.
Octave TTS is the first text-to-speech system built on LLM intelligence. Octave is a speech-language model that understands what words mean in context, unlocking a new level of expressiveness and nuance. It performs the source text, it doesn't just pronounce it.
See this video for a demonstration of using the MCP Server to narrate a scene from an audiobook.
Quickstart
Click here to add to Cursor:
Copy the following into your client's MCP configuration (for example, inside the .mcpServers property of claude_desktop_config.json for Claude Desktop, or of the mcp.json for Cursor).
{
...
"hume": {
"command": "npx",
"args": [
"@humeai/mcp-server"
],
"env": {
"HUME_API_KEY": "<your_hume_api_key>",
}
}
}
Prerequisites
- An account and API Key from Hume AI
- Node.js
- (optional) A command-line audio player
- ffplay from FFMpeg is recommended, but the server will attempt to detect and use any of several common players.
Available Tools
The server exposes the following MCP tools:
- tts: Synthesize (and play) speech from text
- play_previous_audio: Replay previously generated audio
- list_voices: List available voices
- save_voice: Save a generated voice to your library
- delete_voice: Remove a voice from your library
Command Line Options
Options:
--workdir, -w <path> Set working directory for audio files (default: system temp)
--(no-)embedded-audio-mode Enable/disable embedded audio mode (default: false)
--help, -h Show this help message
Evaluation Framework
The project includes a comprehensive evaluation framework that measures how effectively AI agents can utilize the Hume TTS tools across various real-world scenarios.
Environment Variables
HUME_API_KEY: Your Hume AI API key (required)WORKDIR: Working directory for audio files (default: system temp directory + "/hume-tts")EMBEDDED_AUDIO_MODE: Enable/disable embedded audio mode (default: false, set to 'true' to enable)ANTHROPIC_API_KEY: Required for running evaluations
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.