Jarvis MCP

🚀 Jarvis MCP

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.

✨ Features

🎙️ 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

📦 Installation

🚀 One-Command Setup

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

🤖 Why Install the OpenCode Plugin?

• Stream voice messages into OpenCode even while tools are running or tasks are in progress.
• Auto-forward pending Jarvis MCP conversations so you never miss a user request.
• Works entirely locally—no external services required, just your OpenCode project and browser.
• Installs with one command and stays in sync with the latest Jarvis MCP features.

📦 Manual Installation

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

💻 Usage Examples

Basic Usage

1. Hook it into your AI tool – Use the install command above for Claude Desktop, OpenCode, or Claude Code so the MCP server is registered.
2. Kick off a voice turn – Call the converse tool from your assistant; Jarvis MCP auto-starts in the background and pops open https://localhost:5114 if needed.
3. Allow microphone access – Approve the browser prompt the first time it appears.
4. Talk naturally – Continue using converse for every reply; Jarvis MCP handles the rest.

Advanced Usage

Voice Commands in AI Chat

Use the converse tool to start talking:
- converse("Hello! How can I help you today?", timeout: 35)

📚 Documentation

Browser Interface

The web interface provides:

• Voice Settings (click ⚙️ to expand)
  • Language selection (30+ options)
  • Voice selection
  • Speech speed control
  • Always-on microphone mode
  • Silence detection sensitivity & timeout (for Whisper streaming)
• Smart Controls
  • Pause during AI speech (prevents echo)
  • Stop AI when user speaks (natural conversation)
• Mobile Friendly - Works on phones and tablets

Remote Access

Access from any device on your network:

1. Find your computer's IP: ifconfig | grep inet (Mac/Linux) or ipconfig (Windows)
2. Visit https://YOUR_IP:5114 on your phone/browser
3. Accept the security warning (self-signed certificate)
4. Grant microphone permissions

Perfect for continuing conversations away from your desk!

Configuration

Environment Variables

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 Streaming Mode

• Whisper mode records raw PCM in the browser, converts it to 16 kHz mono WAV, and streams it through the built-in HTTPS proxy, so the local whisper-server sees OpenAI-compatible requests.
• By default we proxy to the standard 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.
• The UI keeps recording while transcripts are in flight and ignores Whisper’s non-verbal tags (e.g. [BLANK_AUDIO], (typing)), so only real speech is queued.
• To enable it:
  1. Run your Whisper server locally (e.g. whisper-server from pfrankov/whisper-server).
  2. Set the environment variables above (MCP_VOICE_STT_MODE=whisper and the full MCP_VOICE_WHISPER_URL).
  3. Restart jarvis-mcp and hard-refresh the browser (empty-cache reload) to load the streaming bundle.
  4. Voice status (voice_status() tool) now reports whether Whisper or browser STT is active.

Ports

• HTTPS: 5114 (required for microphone access)
• HTTP: 5113 (local access only)

Requirements

• Node.js 18+
• Google Chrome (only browser tested so far)
• Microphone access
• Optional: Local Whisper server (like pfrankov/whisper-server) if you want streaming STT via MCP_VOICE_STT_MODE=whisper

Troubleshooting

Certificate warnings on mobile?

• Tap "Advanced" → "Proceed to site" to accept self-signed certificate

Microphone not working?

• Ensure you're using HTTPS (not HTTP)
• Check browser permissions
• Try refreshing the page

AI not responding to voice?

• Make sure the converse tool is being used (not just speak)
• Check that timeouts are properly calculated

Development

npm install
npm run build
npm run dev     # Watch mode
npm run start   # Run server

📄 License

MIT