DAISYS
公式Generate high-quality text-to-speech and text-to-voice outputs using the DAISYS platform.
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
関連サーバー
Kone.vc
スポンサーMonetize your AI agent with contextual product recommendations
Notion
Manage and interact with your entire Notion workspace.
Claude MCP Trello
Interact with Trello boards and cards via the Trello API, with built-in rate limiting and error handling.
VISO TRUST
Access and manage your VISO TRUST third-party risk program directly through your AI assistant.
Nextcloud Calendar
CalDAV Nectcloud calendar integration. Manage calendars, events, attendees, etc.
itemit-mcp
An MCP server for asset tracking that connects to the itemit asset management API.
Blender AI MCP
Modular MCP Server + Blender Addon for AI-Driven 3D Modeling.
mcp-server-toggl
Team-wide Toggl Track time tracking, reporting, and workspace management via Reports API v3
Lawmadi
Lawmadi OS (법마디) is an AI-powered legal operating system designed for Korean law, designed to provide real-time, verified legal consultations. It acts as a comprehensive AI legal assistant for both the public and legal professionals.
Logseq MCP Server
Interact with your Logseq knowledge base to create pages, manage blocks, and organize information programmatically.
MIE - Memory Intelligence Engine
Persistent knowledge graph MCP server that gives AI agents shared memory across sessions and providers. Stores facts, decisions, entities, and events with typed relationships.
