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Generate high-quality text-to-speech and text-to-voice outputs using the DAISYS platform.

🔥🔥🔥✓ VerifiedFreeAdvanced setup
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Daisys MCP server

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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:

Copy & paste — that's it
brew install portaudio

If you run on linux run the following command:

Copy & paste — that's it
sudo apt install portaudio19-dev libjack-dev
  1. Add the following configuration to the mcp config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, etc.):
Copy & paste — that's it
{
  "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:

  1. clone the repository: git clone https://github.com/daisys-ai/daisys-mcp.git

  2. cd into the repository: cd daisys-mcp

  3. 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.

  4. Create a virtual environment and install dependencies using uv:

Copy & paste — that's it
uv venv
# source .venv/Scripts/activate (Windows)
source .venv/bin/activate (mac and linux)
uv pip install -e .
  1. Add the following to your config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, etc.):
Copy & paste — that's it
{
    "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}"
            }
        }
    }
}

Contributing

If you want to contribute or run from source:

  1. Clone the repository:
Copy & paste — that's it
git clone https://github.com/daisys-ai/daisys-mcp.git
cd daisys_mcp
  1. Create a virtual environment and install dependencies using uv:
Copy & paste — that's it
uv venv
source .venv/bin/activate
uv pip install -e .
uv pip install -e ".[dev]"
  1. Copy .env.example to .env and add your DAISYS username and password:
Copy & paste — that's it
cp .env.example .env
# Edit .env and add your DAISYS username and password
  1. Test the server by running the tests:
Copy & paste — that's it
uv run pytest

you can also run a full integration test with:

Copy & paste — that's it
uv run pytest -m 'requires_credentials' # ⚠️ Running full integration tests does costs tokens on the Daisys platform
  1. Debug and test locally with MCP Inspector: uv run mcp dev daisys_mcp/server.py