by shantur
Voice Interface is a browser-based speech to text website offering fast, hands-free speech to text online and website sp
Enables voice conversations with AI assistants through your browser using speech-to-text and text-to-speech. No additional software or API keys required.
Voice Interface is a community-built MCP server published by shantur that provides AI assistants with tools and capabilities via the Model Context Protocol. Voice Interface is a browser-based speech to text website offering fast, hands-free speech to text online and website sp It is categorized under communication, ai ml. This server exposes 5 tools that AI clients can invoke during conversations and coding sessions.
You can install Voice Interface 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.
MIT
Voice Interface is released under the MIT 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
Voice Interface reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Voice Interface has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Voice Interface reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Voice Interface for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Voice Interface against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend Voice Interface for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Voice Interface is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Voice Interface into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Voice Interface surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Voice Interface is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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Bring your AI to life—talk to assistants instantly in your browser. Compatible with Claude Desktop, OpenCode, and other MCP-enabled AI tools.
✅ No extra software, services, or API keys required—just open the web app in your browser and grant microphone access.
🎙️ Voice Conversations - Speak naturally with AI assistants
🌍 30+ Languages - Speech recognition in multiple languages
📱 Remote Access - Use from phone/tablet while AI runs on computer
⚙️ Smart Controls - Collapsible settings, always-on mode, custom voices
⏱️ Dynamic Timeouts - Intelligent wait times based on response length
🧰 Zero Extra Software - Runs entirely in your browser—no extra installs or API keys
🔌 Optional Whisper Streaming - Plug into a local Whisper server for low-latency transcripts
Claude Desktop:
npx @shantur/jarvis-mcp --install-claude-config
# Restart Claude Desktop and you're ready!
OpenCode (in current project):
npx @shantur/jarvis-mcp --install-opencode-config --local
npx @shantur/jarvis-mcp --install-opencode-plugin --local
# Start OpenCode and use the converse tool
Claude Code CLI:
npx @shantur/jarvis-mcp --install-claude-code-config --local
# Start Claude Code CLI and use voice tools
From NPM:
npm install -g @shantur/jarvis-mcp
jarvis-mcp
From Source:
git clone <repository-url>
cd jarvis-mcp
npm install && npm run build && npm start
converse tool from your assistant; Jarvis MCP auto-starts in the background and pops open https://localhost:5114 if needed.converse for every reply; Jarvis MCP handles the rest.Use the converse tool to start talking:
- converse("Hello! How can I help you today?", timeout: 35)
The web interface provides:
Access from any device on your network:
ifconfig | grep inet (Mac/Linux) or ipconfig (Windows)https://YOUR_IP:5114 on your phone/browserPerfect for continuing conversations away from your desk!
export MCP_VOICE_AUTO_OPEN=false # Disable auto-opening browser
export MCP_VOICE_HTTPS_PORT=5114 # Change HTTPS port
export MCP_VOICE_STT_MODE=whisper # Switch the web app to Whisper streaming
export MCP_VOICE_WHISPER_URL=http://localhost:12017/v1/audio/transcriptions # Whisper endpoint (full path)
export MCP_VOICE_WHISPER_TOKEN=your_token # Optional Bearer auth for Whisper server
whisper-server sees OpenAI-compatible requests.whisper-server endpoint at http://localhost:12017/v1/audio/transcriptions; point MCP_VOICE_WHISPER_URL at your own host/port if you run it elsewhere.[BLANK_AUDIO], (typing)), so only real speech is queued.whisper-server from pfrankov/whisper-server).MCP_VOICE_STT_MODE=whisper and the full MCP_VOICE_WHISPER_URL).jarvis-mcp and hard-refresh the browser (empty-cache reload) to load the streaming bundle.voice_status() tool) now reports whether Whisper or browser STT is active.pfrankov/whisper-server) if you want streaming STT via MCP_VOICE_STT_MODE=whisperCertificate warnings on mobile?
Microphone not working?
AI not responding to voice?
converse tool is being used (not just speak)npm install
npm run build
npm run dev # Watch mode
npm run start # Run server
MIT
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.