MCPs
Daisys MCP server

Daisys MCP server

A beta server implementation for the Model Context Protocol supporting audio context with Daisys integration.

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Daisys MCP server provides a beta implementation of the Model Context Protocol (MCP), enabling seamless integration between the Daisys AI platform and various MCP clients. It allows users to connect MCP-compatible clients to Daisys by configurable authentication and environment settings, with out-of-the-box support for audio file storage and playback. The server is designed to be extensible, including support for both user-level deployments and developer contributions, with best practices for secure authentication and dependency management.

Key Features

Implements Model Context Protocol server functionality

Seamless integration with Daisys AI user accounts

Audio context storage and management

Supports major MCP clients (Claude Desktop, Cursor, VSCode, mcp-cli)

Configuration via environment variables and MCP client config

Beta quality with community contribution guidelines

Cross-platform dependency setup (MacOS, Linux)

Virtual environment and dependency isolation using uv

Built-in support for security and credential handling

Automated and manual testing capabilities

Use Cases

Enabling MCP audio context for AI assistants using Daisys accounts

Extending MCP client functionality with audio operations

Integrating Daisys authentication with third-party AI tools

Secure storage of AI-driven audio interactions

Local and cloud-based audio model context workflows

Rapid prototyping for developers working with MCP servers

Testing and debugging Model Context Protocol integrations

Customizing audio file storage paths for context data

Automating server deployment alongside MCP clients

Collaborative development with open-source MCP standards

README

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:

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

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:

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:

bash

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

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:

Clone the repository:

bash

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

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]"

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

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

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

Star History

Repository Owner

daisys-ai

Organization

Repository Details

Language Python

Default Branch main

Size 141 KB

Contributors 3

MCP Verified Nov 12, 2025

Programming Languages

Python

97.71%

Dockerfile

2.29%

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Daisys MCP server

Key Features

Use Cases

README

Daisys MCP server

To build from source:

Common Issues

Contributing

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