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Hume Server

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Enables AI assistants to generate expressive speech using Hume AI's Octave Text-to-Speech, allowing for natural language-based audio synthesis and voice managem

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Описание

Enables AI assistants to generate expressive speech using Hume AI's Octave Text-to-Speech, allowing for natural language-based audio synthesis and voice management.

README

Hume MCP Server

Collaborate with AI assistants on your Text-to-Speech projects

📘 Documentation💬 Join us on Discord🔐 Getting your API Keys

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:

Install MCP Server

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

from github.com/HumeAI/mcp-server-hume

Установка Hume Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/HumeAI/mcp-server-hume

FAQ

Hume Server MCP бесплатный?

Да, Hume Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Hume Server?

Нет, Hume Server работает без API-ключей и переменных окружения.

Hume Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Hume Server в Claude Desktop, Claude Code или Cursor?

Открой Hume Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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