ai-mldeveloper-tools

Daisys AI Text-to-Speech

by daisys-ai

Daisys AI Text-to-Speech offers a free, natural AI voice generator with advanced text to speech controls for expressive

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.

github stars

12

High-quality AI voice generationExtensive voice customization optionsBeta version with active development

best for

  • / Content creators needing voiceovers
  • / Developers building voice-enabled applications
  • / Accessibility tools for text-to-speech conversion

capabilities

  • / 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

what it does

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

about

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

MIT

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.

readme

README content is unavailable from source data for this server.

Open GitHub repository

FAQ

What is the Daisys AI Text-to-Speech MCP server?
Daisys AI Text-to-Speech is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Daisys AI Text-to-Speech?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Daisys AI Text-to-Speech is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Daisys AI Text-to-Speech against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Daisys AI Text-to-Speech is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Daisys AI Text-to-Speech reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Daisys AI Text-to-Speech for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Daisys AI Text-to-Speech surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Daisys AI Text-to-Speech has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Daisys AI Text-to-Speech benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Daisys AI Text-to-Speech into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Daisys AI Text-to-Speech is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.