Daisys MCP
by daisys-ai
Text-to-speech MCP server generating and storing audio via the DAISYS platform using user credentials.
Install Daisys MCP
Pick your client, then add it in one click or paste the config.
~/Library/Application Support/Claude/claude_desktop_config.json{
"mcpServers": {
"daisys-ai-daisys-mcp": {
"command": "uvx",
"args": [
"daisys-mcp"
],
"env": {
"DAISYS_EMAIL": "YOUR_VALUE_HERE",
"DAISYS_PASSWORD": "YOUR_VALUE_HERE",
"DAISYS_BASE_STORAGE_PATH": "YOUR_VALUE_HERE"
}
}
}
}
Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.
Values are written into the snippet above so you can paste it as is. They never leave your browser.
We couldn’t confirm it starts correctly
The install command didn't complete successfully in our automated test.
uvx daisys-mcperror: Failed to build `mysql-python==1.2.5` cause: The build backend returned an error cause: Call to `setuptools.build_meta:__legacy__.build_wheel` failed (exit status: 1) [stderr] Traceback (most recent call last): File "<string>", line 14, in <module> File "/home/user/.cache/uv/builds-v0/.tmp6CHerV/lib/python3.11/site-packages/setuptools/build_meta.py", line 333, in get_requires_for_build_wheel return self._get_build_requires(config_s
This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.
Overview
Use cases
- Convert text input to speech audio
- Store generated audio files locally
- Play back synthesized speech within MCP clients
- Integrate DAISYS TTS in custom MCP workflows
Key features
- Text-to-speech synthesis via DAISYS API
- Audio file storage at configurable local path
- User authentication with email and password
- Compatibility with multiple MCP clients
- Supports local playback of generated audio
Security & health
What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.
Recent health check succeeded.
Supply-chain signal
No high-severity advisories surfaced by our automated scan.
Scanned 4h ago via OSV.dev · daisys-mcp (PyPI)
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
From the project 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:
brew install portaudio
If you run on linux run the following command:
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.):
{
"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 withcurl -LsSf https://astral.sh/uv/install.sh | shor see theuvrepo for additional install methods. -
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 .
- 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:
- Clone the repository:
git clone https://github.com/daisys-ai/daisys-mcp.git
cd daisys_mcp
- Create a virtual environment and install dependencies using uv:
uv venv
source .venv/bin/activate
uv pip install -e .
uv pip install -e ".[dev]"
- Copy
.env.exampleto.envand add your DAISYS username and password:
cp .env.example .env
# Edit .env and add your DAISYS username and password
- 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
- Debug and test locally with MCP Inspector:
uv run mcp dev daisys_mcp/server.py
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Frequently Asked Questions about Daisys MCP
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