other

Rime Text-to-Speech

by matthewdailey

Convert text to speech instantly using Rime's API. Enjoy fast, streaming AI voice generation with minimal latency. Try o

Text-to-speech server that converts text into spoken audio through Rime's API, streaming with optimized buffering for minimal latency between generation and playback.

github stars

28

Optimized buffering for low latencyCross-platform audio supportConfigurable speech behavior

best for

  • / Coding agents providing audio announcements
  • / Accessibility applications requiring speech output
  • / Interactive assistants with voice responses

capabilities

  • / Convert text to speech using Rime API
  • / Play generated audio through system audio
  • / Customize voice selection from available options
  • / Configure when and how speech is triggered

what it does

Converts text to speech using Rime's API and plays audio through your system's audio player with minimal latency.

about

Rime Text-to-Speech is a community-built MCP server published by matthewdailey that provides AI assistants with tools and capabilities via the Model Context Protocol. Convert text to speech instantly using Rime's API. Enjoy fast, streaming AI voice generation with minimal latency. Try o It is categorized under other.

how to install

You can install Rime 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

Unlicense

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

readme

Rime MCP

rime

A Model Context Protocol (MCP) server that provides text-to-speech capabilities using the Rime API. This server downloads audio and plays it using the system's native audio player.

Features

  • Exposes a speak tool that converts text to speech and plays it through system audio
  • Uses Rime's high-quality voice synthesis API

Requirements

  • Node.js 16.x or higher
  • A working audio output device
  • macOS: Uses afplay

There's sample code from Claude for the following that is not tested 🤙✨

  • Windows: Built-in Media.SoundPlayer (PowerShell)
  • Linux: mpg123, mplayer, aplay, or ffplay

MCP Configuration

"ref": {
  "command": "npx",
  "args": ["rime-mcp"],
  "env": {
      RIME_API_KEY=your_api_key_here

      # Optional configuration
      RIME_GUIDANCE="<guide how the agent speaks>"
      RIME_WHO_TO_ADDRESS="<your name>"
      RIME_WHEN_TO_SPEAK="<tell the agent when to speak>"
      RIME_VOICE="cove" 
  }
}

All of the optional env vars are part of the tool definition and are prompts to

All voice options are listed here.

You can get your API key from the Rime Dashboard.

The following environment variables can be used to customize the behavior:

  • RIME_GUIDANCE: The main description of when and how to use the speak tool
  • RIME_WHO_TO_ADDRESS: Who the speech should address (default: "user")
  • RIME_WHEN_TO_SPEAK: When the tool should be used (default: "when asked to speak or when finishing a command")
  • RIME_VOICE: The default voice to use (default: "cove")

Example use cases

Demo of Rime MCP in Cursor

Example 1: Coding agent announcements

"RIME_WHEN_TO_SPEAK": "Always conclude your answers by speaking.",
"RIME_GUIDANCE": "Give a brief overview of the answer. If any files were edited, list them."

Example 2: Learn how the kids talk these days

RIME_GUIDANCE="Use phrases and slang common among Gen Alpha."
RIME_WHO_TO_ADDRESS="Matt"
RIME_WHEN_TO_SPEAK="when asked to speak"

Example 3: Different languages based on context

RIME_VOICE="use 'cove' when talking about Typescript and 'antoine' when talking about Python"

Development

  1. Install dependencies:
npm install
  1. Build the server:
npm run build
  1. Run in development mode with hot reload:
npm run dev

License

MIT

Badges

<a href="https://glama.ai/mcp/servers/@MatthewDailey/rime-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@MatthewDailey/rime-mcp/badge" alt="Rime MCP server" /> </a> <a href="https://smithery.ai/server/@MatthewDailey/rime-mcp"><img alt="Smithery Badge" src="https://smithery.ai/badge/@MatthewDailey/rime-mcp"></a>

Installing via Smithery

To install Rime Text-to-Speech Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @MatthewDailey/rime-mcp --client claude