Native macOS MCP server for voice I/O — Swift binary, SFSpeechRecognizer + ElevenLabs TTS.
Native macOS MCP server for voice I/O — Swift binary, SFSpeechRecognizer + ElevenLabs TTS. Exposed over MCP by the vox mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Built in Swift. No Node.js. No Python. No Electron. Just a single binary.
Everything the assistant can do here goes through one of these:
listen — Activates the mic, waits for you to speak, returns transcript + detected language when silence is detectedspeak — Speaks text aloud — ElevenLabs TTS with automatic fallback to macOS system voiceSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
You will need one environment variable: ELEVENLABS_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
ELEVENLABS_API_KEY in ~/.claude/.env for high-quality multilingual TTSAmong the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Vox's toolset — listen, speak — is a fair guide to whether it matches your workflow. It is maintained by boska; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Vox's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| listen | Activates the mic, waits for you to speak, returns transcript + detected language when silence is detected |
| speak | Speaks text aloud — ElevenLabs TTS with automatic fallback to macOS system voice |
{
"mcpServers": {
"vox": {
"command": "/path/to/vox"
}
}
}Configuration as documented by the project. Restart the client after saving.
ELEVENLABS_API_KEY in ~/.claude/.env for high-quality multilingual TTS| Variable | Description | Required |
|---|---|---|
| ELEVENLABS_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.