Daisys-mcp is a beta version and doesn't have a stable release yet. But you can try it out by doing the following: 1. Get an account on Daisys and create an username and password. If you run on mac os run the following command: If you run on linux run the following command: 2. Add the following configuration to the mcp config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, et
Add this skill
npx mdskills install daisys-ai/daisys-mcpProvides clear setup instructions but lacks description of actual capabilities and tools
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.pyInstall via CLI
npx mdskills install daisys-ai/daisys-mcpDaisys MCP server is a free, open-source AI agent skill. Daisys-mcp is a beta version and doesn't have a stable release yet. But you can try it out by doing the following: 1. Get an account on Daisys and create an username and password. If you run on mac os run the following command: If you run on linux run the following command: 2. Add the following configuration to the mcp config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, et
Install Daisys MCP server with a single command:
npx mdskills install daisys-ai/daisys-mcpThis downloads the skill files into your project and your AI agent picks them up automatically.
Daisys MCP server works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.