Skip to main content
Glama

Daisys MCP Server

by daisys-ai

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}", "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:
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}", "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:

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
-
security - not tested
F
license - not found
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A beta server that enables integration with Daisys.ai services via the Message Control Protocol (MCP), allowing AI clients like Claude Desktop and Cursor to use Daisys features through a standardized interface.

  1. To build from source:
    1. Common Issues
      1. Contributing

        Related MCP Servers

        • -
          security
          A
          license
          -
          quality
          A simple MCP server for interacting with OpenAI assistants. This server allows other tools (like Claude Desktop) to create and interact with OpenAI assistants through the Model Context Protocol.
          Last updated -
          33
          Python
          MIT License
          • Apple
        • -
          security
          F
          license
          -
          quality
          A flexible server that enables communication between AI models and tools, supporting multiple MCP servers and compatible with Claude, MCP Dockmaster, and other MCP clients.
          Last updated -
          26
          1
          TypeScript
        • -
          security
          A
          license
          -
          quality
          An MCP server that enables AI applications to interact with DiceDB databases.
          Last updated -
          5
          Go
          MIT License
          • Linux
          • Apple
        • A
          security
          F
          license
          A
          quality
          An MCP-compatible server that exposes automated API tools to MCP clients like Claude Desktop or Postman, allowing AI assistants to interact with your selected APIs.
          Last updated -
          3
          JavaScript

        View all related MCP servers

        MCP directory API

        We provide all the information about MCP servers via our MCP API.

        curl -X GET 'https://glama.ai/api/mcp/v1/servers/daisys-ai/daisys-mcp'

        If you have feedback or need assistance with the MCP directory API, please join our Discord server