An MCP server to allow LLMs to speak and listen via bidirectional voice loops
{
"mcpServers": {
"voice-mcp-server": {
"args": [],
"command": "voice-mcp-server"
}
}
}Are you the author?
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Give your AI agents a voice, real ears, and the ability to handle interruptions in real-time.
Is it safe?
No known CVEs for voice-mcp-server.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 7 days ago. 627 weekly downloads.
Will it work with my client?
Transport: stdio, sse, http. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Context cost
2 tools.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'voice-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
voice_converseThe core communication loop. The AI calls this tool and passes a string of text it wants to say. The server renders and plays the TTS, activates the microphone and listens for the user's reply via VAD, transcribes the audio and returns the text to the AI. Supports interrupt handling (barge-in) - if the user interrupts the AI mid-sentence, playback instantly stops, the server captures the interruption, transcribes it, and returns the response alongside a was_interrupted: true flag.
configure_audio_engineGrants the AI meta-awareness over its own hardware and software stack. Allows the AI to autonomously swap out the active Hydra configuration on the fly, such as switching to a more realistic voice or changing to push-to-talk mode.
No known vulnerabilities.
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