DAISYS
Generate high-quality text-to-speech and text-to-voice outputs using the DAISYS platform.
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
Related Servers
Obsidian MCP
Interact with your Obsidian vault using the Model Context Protocol, enabling AI assistants to read, write, and manipulate notes.
Twenty CRM
Interact with the Twenty CRM API through chat-based tools.
YesDev
AI-powered tools for efficient task, requirement, and project management using the YesDev platform.
Notion
Interact with Notion's API to read, create, and modify content using natural language.
SuperLocalMemory V2
Universal, local-first persistent memory for AI assistants. SQLite-based knowledge graph with zero cloud dependencies. Works with 17+ tools (Claude, Cursor, Windsurf, VS Code, etc.). 100% free forever.
Anki
Manage Anki flashcards and decks using the Anki-Connect plugin.
PAF-IAST LMS Automation
Automates interactions with the PAF-IAST Learning Management System (LMS) for AI assistants like Claude and VS Code Copilot.
Data Vessel
No dashboards, just ask Claude (Connect AI to your business data)
Unreasonable Thinking Server
A tool for bold and unconventional problem-solving, generating unique solutions by branching and tracking thoughts.
TikTok Ads MCP Server
A Model Context Protocol (MCP) server for TikTok Ads API integration. This server enables AI assistants like Claude to interact with TikTok advertising campaigns, providing comprehensive campaign management, analytics, and optimization capabilities. Part of the AdsMCP project - MCP servers for advertising platforms.
