How do I store generated audio files?

Set the DAISYS_BASE_STORAGE_PATH environment variable to a local directory where audio files will be saved.

Which MCP clients are compatible?

Compatible clients include Claude Desktop, Cursor, mcp-cli, and mcp-vscode.

Are there any platform-specific dependencies?

Yes, portaudio and related libraries must be installed (brew on macOS, apt on Linux).

Is this server production-ready?

It is currently in beta and does not have a stable release.

Daisys MCP

text-to-speechaudiottsspeech-synthesis

Text-to-speech MCP server generating and storing audio via the DAISYS platform using user credentials.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "daisys-ai-daisys-mcp": {
      "command": "uvx",
      "args": [
        "daisys-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

This MCP server enables text-to-speech conversion by interfacing with the DAISYS platform. It requires user authentication with DAISYS credentials and supports playing and storing generated audio files locally. It is suitable for developers who want to integrate DAISYS TTS capabilities into their MCP-compatible clients.

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

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Daisys MCP.

Extracted Tool Capabilities

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

Documentation Overview

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.):

config.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.):

config.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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Text-to-Speech View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

1y ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Daisys MCP

You must have a DAISYS account and provide your email and password via environment variables.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/daisys-ai-daisys-mcp?style=directory)](https://allmcps.com/mcp/daisys-ai-daisys-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/daisys-ai-daisys-mcp"><img src="https://allmcps.com/api/badge/daisys-ai-daisys-mcp?style=directory" alt="Daisys MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryText-to-Speech

PricingBring your own API key (usage-based cost)

11/11 checks healthy over the last 33d

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity2/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · daisys-mcp (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge — proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🎧 Text-to-Speech →Alternatives to Daisys MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Daisys MCP

text-to-speechaudiottsspeech-synthesis

Text-to-speech MCP server generating and storing audio via the DAISYS platform using user credentials.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "daisys-ai-daisys-mcp": {
      "command": "uvx",
      "args": [
        "daisys-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

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

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Daisys MCP.

Extracted Tool Capabilities

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

Documentation Overview

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.):

config.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.):

config.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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Text-to-Speech View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

1y ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Daisys MCP

You must have a DAISYS account and provide your email and password via environment variables.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/daisys-ai-daisys-mcp?style=directory)](https://allmcps.com/mcp/daisys-ai-daisys-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/daisys-ai-daisys-mcp"><img src="https://allmcps.com/api/badge/daisys-ai-daisys-mcp?style=directory" alt="Daisys MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryText-to-Speech

PricingBring your own API key (usage-based cost)

11/11 checks healthy over the last 33d

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity2/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · daisys-mcp (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🎧 Text-to-Speech →Alternatives to Daisys MCP →Install in Claude Desktop Install in Cursor Install in VS Code