# Voice MCP

> Use this tool when you need to enable AI assistants to conduct two-way voice conversations with users, solving problems such as creating voice-enabled interfaces for accessibility applications or development workflows. It takes audio inputs through local microphone recording or LiveKit room-based communication and outputs text-to-speech and speech-to-text responses. Use Voice MCP in contexts where flexible voice processing with both cloud and local deployment options is required, such as building voice-enabled AI assistants or audio interaction applications.

Canonical page: https://skillsregistry.net/skills/voice  
JSON: https://api.skillsregistry.net/v1/skills/voice

## Description

This MCP server provides voice interaction capabilities through multiple transport methods, enabling AI assistants to conduct two-way voice conversations using either local microphone recording or LiveKit room-based communication. Built by mbailey using Python with FastMCP, sounddevice, and OpenAI-compatible APIs, it features automatic transport selection that tries LiveKit first then falls back to local audio, configurable STT/TTS services with support for self-hosted alternatives, debug mode with audio file saving, and privacy-conscious design with clear user consent requirements. The implementation includes tools for asking voice questions with automatic response recording, standalone text-to-speech and speech-to-text functions, audio device detection, and LiveKit room status monitoring, making it valuable for creating voice-enabled AI assistants, accessibility applications requiring audio interaction, and development workflows that need flexible voice processing with both cloud and local deployment options.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/voice)
- **Repository:** <https://github.com/mbailey/voicemode>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "voice"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/voice` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/voice/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt