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DAISYS TTS MCP Server

Created By
daisys-ai9 months ago
🎙 DAISYS MCP Server — Custom Voices & Real-Time TTS Bring your characters, assistants, or creative projects to life with Daisy’s MCP Server — a powerful and flexible server for generating custom voices and speaking through text-to-speech (TTS). ✨ Features: 🎨 Custom Voice Creation – Generate and use unique, AI-powered voices tailored to your needs. 🗣 Real-Time Text-to-Speech – Instantly speak any text through your chosen voice. 🔗 Open Protocol – Built on the Model Context Protocol (MCP) for easy integration. 🧩 Developer-Friendly – Simple API for apps, bots, games, or experiments. Perfect for devs, creators, and voice AI enthusiasts who want complete control over voice generation and speech output.
Content

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:

  1. 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
  1. 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}"
      }
    }
  }
}

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:

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.):
{
    "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}"
            }
        }
    }
}

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:

  1. Clone the repository:
git clone https://github.com/daisys-ai/daisys-mcp.git
cd daisys_mcp
  1. Create a virtual environment and install dependencies using uv:
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:
cp .env.example .env
# Edit .env and add your DAISYS username and password
  1. 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 
  1. Debug and test locally with MCP Inspector: uv run mcp dev daisys_mcp/server.py

Server Config

{
  "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}"
      }
    }
  }
}
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