Daisys AI Text-to-Speech

Daisys AI Text-to-Speech

Official
daisys-ai

Converts text to high-quality speech audio using the Daisys AI API. Lets you control voice characteristics like gender, pace, pitch, and expression.

Provides a bridge to the Daisys AI text-to-speech API, enabling high-quality voice audio generation with control over characteristics like gender, pace, pitch, and expression.

12320 views6Local (stdio)

What it does

  • Generate speech audio from text input
  • Control voice gender and characteristics
  • Adjust speech pace and pitch
  • Modify voice expression and tone
  • Save audio files to local storage

Best for

Content creators needing voiceoversDevelopers building voice-enabled applicationsAccessibility tools for text-to-speech conversion
High-quality AI voice generationExtensive voice customization optionsBeta version with active development

About Daisys AI Text-to-Speech

Daisys AI Text-to-Speech is an official MCP server published by daisys-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Daisys AI Text-to-Speech offers a free, natural AI voice generator with advanced text to speech controls for expressive It is categorized under ai ml, developer tools.

How to install

You can install Daisys AI Text-to-Speech in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Daisys AI Text-to-Speech is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

MseeP.ai Security Assessment Badge

Daisys MCP server

smithery badge

Daisys-mcp is a beta version and doesn't have a stable release yet. But you can try it out by doing the following:

  1. 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
  1. 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:

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

  2. cd into the repository: cd daisys-mcp

  3. 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.

  4. 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 .
  1. 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:

  1. Clone the repository:
git clone https://github.com/daisys-ai/daisys-mcp.git
cd daisys_mcp
  1. Create a virtual environment and install dependencies using uv:
uv venv
source .venv/bin/activate
uv pip install -e .
uv pip install -e ".[dev]"
  1. Copy .env.example to .env and add your DAISYS username and password:
cp .env.example .env
# Edit .env and add your DAISYS username and password
  1. 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 
  1. Debug and test locally with MCP Inspector: uv run mcp dev daisys_mcp/server.py

Alternatives

Related Skills

Browse all skills
ui-design-system

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

6
cli-builder

Guide for building TypeScript CLIs with Bun. Use when creating command-line tools, adding subcommands to existing CLIs, or building developer tooling. Covers argument parsing, subcommand patterns, output formatting, and distribution.

2
openai-knowledge

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.

0
api-documenter

Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.

0
ydc-ai-sdk-integration

Integrate Vercel AI SDK applications with You.com tools (web search, AI agent, content extraction). Use when developer mentions AI SDK, Vercel AI SDK, generateText, streamText, or You.com integration with AI SDK.

0
mcp-developer

Use when building MCP servers or clients that connect AI systems with external tools and data sources. Invoke for MCP protocol compliance, TypeScript/Python SDKs, resource providers, tool functions.

0