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.
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
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
speaktool 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 toolRIME_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
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
- Install dependencies:
npm install
- Build the server:
npm run build
- 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

