Cloud · MODEL CONTEXT PROTOCOL

MatthewDailey rime mcp

MCP server for Rime

WHAT IT CONNECTS

What MatthewDailey rime mcp gives an AI Agent

  • Exposes a `speak` tool that converts text to speech and plays it through system audio
  • Uses Rime's high-quality voice synthesis API
  • Node.js 16.x or higher
  • A working audio output device
  • macOS: Uses `afplay`
  • Windows: Built-in Media.SoundPlayer (PowerShell)
  • Linux: mpg123, mplayer, aplay, or ffplay
  • `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")
  • Install dependencies:
  • Build the server:
  • Run in development mode with hot reload:

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

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

Rime MCP server Smithery Badge

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
View README on GitHub

COMMUNITY

Save, rate, and discuss

Loading community data…