
Daisys AI Text-to-Speech
OfficialConverts text to high-quality speech audio using the Daisys AI API. Lets you control voice characteristics like gender, pace, pitch, and expression.
Provides a bridge to the Daisys AI text-to-speech API, enabling high-quality voice audio generation with control over characteristics like gender, pace, pitch, and expression.
What it does
- Generate speech audio from text input
- Control voice gender and characteristics
- Adjust speech pace and pitch
- Modify voice expression and tone
- Save audio files to local storage
Best for
About Daisys AI Text-to-Speech
Daisys AI Text-to-Speech is an official MCP server published by daisys-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Daisys AI Text-to-Speech offers a free, natural AI voice generator with advanced text to speech controls for expressive It is categorized under ai ml, developer tools.
How to install
You can install Daisys AI Text-to-Speech in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Daisys AI Text-to-Speech is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Daisys MCP server
Daisys-mcp is a beta version and doesn't have a stable release yet. But you can try it out by doing the following:
- Get an account on Daisys and create an username and password.
If you run on mac os run the following command:
brew install portaudio
If you run on linux run the following command:
sudo apt install portaudio19-dev libjack-dev
- Add the following configuration to the mcp config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, etc.):
{
"mcpServers": {
"daisys-mcp": {
"command": "uvx",
"args": ["daisys-mcp"],
"env": {
"DAISYS_EMAIL": "{Your Daisys Email}",
"DAISYS_PASSWORD": "{Your Daisys Password}",
"DAISYS_BASE_STORAGE_PATH": "{Path where you want to store your audio files}"
}
}
}
}
To build from source:
-
clone the repository:
git clone https://github.com/daisys-ai/daisys-mcp.git -
cd into the repository:
cd daisys-mcp -
Install
uv(Python package manager), install withcurl -LsSf https://astral.sh/uv/install.sh | shor see theuvrepo for additional install methods. -
Create a virtual environment and install dependencies using uv:
uv venv
# source .venv/Scripts/activate (Windows)
source .venv/bin/activate (mac and linux)
uv pip install -e .
- Add the following to your config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, etc.):
{
"mcpServers": {
"daisys-mcp": {
"command": "uv",
"args": [
"--directory",
"{installation_path}/daisys-mcp",
"run",
"-m",
"daisys_mcp.server"
],
"env": {
"DAISYS_EMAIL": "{Your Daisys Email}",
"DAISYS_PASSWORD": "{Your Daisys Password}",
"DAISYS_BASE_STORAGE_PATH": "{Path where you want to store your audio files}"
}
}
}
}
Common Issues
If you get any issues with portaudio on linux, you can try installing it manually:
sudo apt-get update
sudo apt-get install -y portaudio19-dev
Contributing
If you want to contribute or run from source:
- Clone the repository:
git clone https://github.com/daisys-ai/daisys-mcp.git
cd daisys_mcp
- Create a virtual environment and install dependencies using uv:
uv venv
source .venv/bin/activate
uv pip install -e .
uv pip install -e ".[dev]"
- Copy
.env.exampleto.envand add your DAISYS username and password:
cp .env.example .env
# Edit .env and add your DAISYS username and password
- Test the server by running the tests:
uv run pytest
you can also run a full integration test with:
uv run pytest -m 'requires_credentials' # ⚠️ Running full integration tests does costs tokens on the Daisys platform
- Debug and test locally with MCP Inspector:
uv run mcp dev daisys_mcp/server.py
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