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The 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:
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.pyRun Claude Code as an MCP server so any agent can delegate coding tasks to it
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