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Kokoro TTS MCP Server

Kokoro TTS MCP Server

Public
giannisanni/kokoro-tts-mcp

Provides text-to-speech synthesis via Model Context Protocol with customizable voices, adjustable speech speed, cross-platform audio playback, and options for saving or playing audio files.

python
0 tools
May 30, 2025
Updated Jun 4, 2025

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Kokoro TTS MCP Server

A Model Context Protocol (MCP) server that provides text-to-speech capabilities using the Kokoro TTS engine. This server exposes TTS functionality through MCP tools, making it easy to integrate speech synthesis into your applications.

Prerequisites

  • Python 3.10 or higher
  • uv package manager

Installation

  1. First, install the uv package manager:
curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Clone this repository and install dependencies:
uv venv source .venv/bin/activate # On Windows, use: .venv\Scripts\activate uv pip install .

Features

  • Text-to-speech synthesis with customizable voices
  • Adjustable speech speed
  • Support for saving audio to files or direct playback
  • Cross-platform audio playback support (Windows, macOS, Linux)

Usage

The server provides a single MCP tool generate_speech with the following parameters:

  • text (required): The text to convert to speech
  • voice (optional): Voice to use for synthesis (default: "af_heart")
  • speed (optional): Speech speed multiplier (default: 1.0)
  • save_path (optional): Directory to save audio files
  • play_audio (optional): Whether to play the audio immediately (default: False)

Example Usage

from mcp.client import Client async with Client() as client: await client.connect("kokoro-tts") # Generate and play speech result = await client.call_tool( "generate_speech", { "text": "Hello, world!", "voice": "af_heart", "speed": 1.0, "play_audio": True } )

Dependencies

  • kokoro >= 0.8.4
  • mcp[cli] >= 1.3.0
  • soundfile >= 0.13.1

Platform Support

Audio playback is supported on:

  • Windows (using start)
  • macOS (using afplay)
  • Linux (using aplay)

MCP Configuration

Add the following configuration to your MCP settings file:

{ "mcpServers": { "kokoro-tts": { "command": "/Users/giannisan/pinokio/bin/miniconda/bin/uv", "args": [ "--directory", "/Users/giannisan/Documents/Cline/MCP/kokoro-tts-mcp", "run", "tts-mcp.py" ] } } }

License

[Add your license information here]

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