Kokoro TTS
Integrates with
Kokoro TTS
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
- First, install the
uv
package manager:
curl -LsSf https://astral.sh/uv/install.sh | sh
- 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 speechvoice
(optional): Voice to use for synthesis (default: "af_heart")speed
(optional): Speech speed multiplier (default: 1.0)save_path
(optional): Directory to save audio filesplay_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]