Generate high-quality text-to-speech and text-to-voice outputs using the DAISYS platform.
Daisys-mcp is a beta version and doesn't have a stable release yet. But you can try it out by doing the following:
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
{
"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}"
}
}
}
}
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 with curl -LsSf https://astral.sh/uv/install.sh | sh
or see the uv
repo 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 .
{
"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}"
}
}
}
}
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
If you want to contribute or run from source:
git clone https://github.com/daisys-ai/daisys-mcp.git
cd daisys_mcp
uv venv
source .venv/bin/activate
uv pip install -e .
uv pip install -e ".[dev]"
.env.example
to .env
and add your DAISYS username and password:cp .env.example .env
# Edit .env and add your DAISYS username and password
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
uv run mcp dev daisys_mcp/server.py
Channel management and messaging capabilities
Connect to any function, any language, across network boundaries using AgentRPC.
Create and publish unlimited podcast shows and episodes with ELEMENT.FM
The official ElevenLabs MCP server
Network access with the ability to run commands like ping, traceroute, mtr, http, dns resolve.
Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your gotoHuman inbox.
AI personal assistant for email Inbox Zero
Integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.
Make your AI agent speak every language on the planet, using Lingo.dev Localization Engine.
Interact with Mailgun API.