MCP server for Rime
What is MatthewDailey rime mcp
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
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 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
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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