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Built with ❤️ by Krishna Goyal

    Daisys Mcp

    The Daisys mcp server

    10 stars
    Python
    Updated Sep 12, 2025

    Table of Contents

    • To build from source:
    • Common Issues
    • Contributing

    Table of Contents

    • To build from source:
    • Common Issues
    • Contributing

    Documentation

    MseeP.ai Security Assessment Badge

    Daisys MCP server

    smithery badge

    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:

    bash
    brew install portaudio

    If you run on linux run the following command:

    bash
    sudo apt install portaudio19-dev libjack-dev

    2. Add the following configuration to the mcp config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, etc.):

    json
    {
      "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:

    bash
    uv venv
    # source .venv/Scripts/activate (Windows)
    source .venv/bin/activate (mac and linux)
    uv pip install -e .

    5. Add the following to your config file in your MCP client (Claude Desktop, Cursor, mcp-cli, mcp-vscode, etc.):

    json
    {
        "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:

    bash
    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:

    bash
    git clone https://github.com/daisys-ai/daisys-mcp.git
    cd daisys_mcp

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

    bash
    uv venv
    source .venv/bin/activate
    uv pip install -e .
    uv pip install -e ".[dev]"

    3. Copy .env.example to .env and add your DAISYS username and password:

    bash
    cp .env.example .env
    # Edit .env and add your DAISYS username and password

    4. Test the server by running the tests:

    bash
    uv run pytest

    you can also run a full integration test with:

    bash
    uv run pytest -m 'requires_credentials' # ⚠️ Running full integration tests does costs tokens on the Daisys platform

    5. Debug and test locally with MCP Inspector: uv run mcp dev daisys_mcp/server.py

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