DAISYS

by daisys-ai

Not rated
GitHub

About

Generate high-quality text-to-speech and text-to-voice outputs using the [DAISYS](https://www.daisys.ai/) platform.

Details

Author
daisys-ai
Categories
Productivity, Other, Developer Tools

Setup

Install DAISYS in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/daisys-ai/daisys-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

- Generate speech from text— Ask your assistant to convert text into natural-sounding speech usingspeak.
- List available voices— Retrieve all available Daisys voices withlist_voicesto choose the right tone and style.
- Stream audio in real time— Usespeak_streamto generate and play speech as it's being produced, reducing wait time.

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 onDaisysand create an username and password.

If you run on mac os run the following command:

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}" } } } }

-

clone the repository:git clone https://github.com/daisys-ai/daisys-mcp.git

Installuv(Python package manager), install withcurl -LsSf https://astral.sh/uv/install.sh | shor see theuvrepofor additional install methods.

Create a virtual environment and install dependenciesusing 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}" } } } }

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

If you want to contribute or run from source:

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

- Create a virtual environment and install dependenciesusing 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

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

A simple text-to-speech server that plays audio from text, supporting multiple voice models.

Cinema-grade video production MCP server — 8 tools for recording, editing, effects, captions, TTS, and smart screenshots. Built on ffmpeg + Playwright.

Interact with MiniMax's powerful Text-to-Speech, image, and video generation APIs.

Hosted MCP server for AudioPod's audio AI: text-to-speech, voice cloning, music generation, stem and speaker separation, transcription, denoise, and voice conversion.

Text-to-speech generation with conversation history features using the ElevenLabs API.

Interact with MiniMax's powerful APIs for text-to-speech, voice cloning, and video/image generation.

A JavaScript/TypeScript server for MiniMax MCP, offering image/video generation, text-to-speech, and voice cloning.

AI transcription from URLs or local files: 119 languages, speaker diarization, word-level timestamps, SRT/VTT/text export.

Official SynClub server for AI generation, including text-to-speech, voice cloning, video, and image creation.

High-quality text-to-speech generation using the OpenAI TTS API.

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.