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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
FAQ
- What is the Rime Text-to-Speech MCP server?
- Rime Text-to-Speech is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Rime Text-to-Speech?
- This profile displays 57 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★57 reviews- ★★★★★Aanya Torres· Dec 28, 2024
Rime Text-to-Speech has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Chaitanya Patil· Dec 24, 2024
According to our notes, Rime Text-to-Speech benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Charlotte Chen· Dec 24, 2024
According to our notes, Rime Text-to-Speech benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Aanya Abebe· Dec 12, 2024
We wired Rime Text-to-Speech into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Aditi Jain· Nov 19, 2024
Rime Text-to-Speech is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Piyush G· Nov 15, 2024
We wired Rime Text-to-Speech into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Luis Abbas· Nov 15, 2024
We wired Rime Text-to-Speech into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Aditi Bansal· Nov 3, 2024
According to our notes, Rime Text-to-Speech benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Aditi Haddad· Oct 22, 2024
Rime Text-to-Speech has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Shikha Mishra· Oct 6, 2024
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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