What is Mcp Server Hume

The mcp-server-hume is a server that enables collaboration with AI assistants on Text-to-Speech (TTS) projects using the Octave TTS system, which is the first TTS built on LLM intelligence.

Use cases

Use cases for mcp-server-hume include narrating audiobooks, creating interactive voice responses for customer service, enhancing educational content with spoken explanations, and developing engaging AI chatbots.

How to use

To use mcp-server-hume, you need to configure your MCP client application (like Claude Desktop or Cursor) by adding the server details in the configuration file, including your Hume API key.

Key features

Key features of mcp-server-hume include the ability to perform text-to-speech with contextual understanding, expressiveness, and the use of LLM intelligence for nuanced speech generation.

Where to use

mcp-server-hume can be used in various fields such as audiobook narration, virtual assistants, educational tools, and any application requiring advanced text-to-speech capabilities.

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

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).

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)
  --(no-)instant-mode        Enable/disable instant mode (default: false) (incurs 10% additional cost)
  --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)
• INSTANT_MODE: Enable/disable instant mode (default: false, set to ‘true’ to enable)
• ANTHROPIC_API_KEY: Required for running evaluations