MCP server
by matthewdailey
Convert text to speech instantly using Rime's API. Enjoy fast, streaming AI voice generation with minimal latency. Try o
Converts text to speech using Rime's API and plays audio through your system's audio player with minimal latency.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Rime Text-to-Speech has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Rime Text-to-Speech benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Rime Text-to-Speech benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Rime Text-to-Speech into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Rime Text-to-Speech is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Rime Text-to-Speech into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Rime Text-to-Speech into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Rime Text-to-Speech benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Rime Text-to-Speech has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Rime Text-to-Speech is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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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.
speak tool that converts text to speech and plays it through system audioafplayThere's sample code from Claude for the following that is not tested 🤙✨
"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")
"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."
RIME_GUIDANCE="Use phrases and slang common among Gen Alpha."
RIME_WHO_TO_ADDRESS="Matt"
RIME_WHEN_TO_SPEAK="when asked to speak"
RIME_VOICE="use 'cove' when talking about Typescript and 'antoine' when talking about Python"
npm install
npm run build
npm run dev
MIT
To install Rime Text-to-Speech Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @MatthewDailey/rime-mcp --client claude
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.