VoiceMode MCP — 使用场景, 安装 & 实时演示

为什么要用

核心特性

Local Whisper option — no cloud audio
Multiple TTS backends: OpenAI, ElevenLabs, local Coqui
Push-to-talk or voice-activated modes
Streams partial responses so you hear Claude thinking
Works in terminal alongside Claude Code CLI

实时演示

实际使用效果

voicemode-mcp.replay ▶ 就绪

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安装

选择你的客户端

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "voicemode-mcp": {
      "command": "uvx",
      "args": [
        "voice-mode"
      ]
    }
  }
}

打开 Claude Desktop → Settings → Developer → Edit Config。保存后重启应用。

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "voicemode-mcp": {
      "command": "uvx",
      "args": [
        "voice-mode"
      ]
    }
  }
}

Cursor 使用与 Claude Desktop 相同的 mcpServers 格式。项目级配置优先于全局。

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "voicemode-mcp": {
      "command": "uvx",
      "args": [
        "voice-mode"
      ]
    }
  }
}

点击 Cline 侧栏中的 MCP Servers 图标，然后选 "Edit Configuration"。

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "voicemode-mcp": {
      "command": "uvx",
      "args": [
        "voice-mode"
      ]
    }
  }
}

格式与 Claude Desktop 相同。重启 Windsurf 生效。

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "voicemode-mcp",
      "command": "uvx",
      "args": [
        "voice-mode"
      ]
    }
  ]
}

Continue 使用服务器对象数组，而非映射。

~/.config/zed/settings.json

{
  "context_servers": {
    "voicemode-mcp": {
      "command": {
        "path": "uvx",
        "args": [
          "voice-mode"
        ]
      }
    }
  }
}

加入 context_servers。Zed 保存后热重载。

claude mcp add voicemode-mcp -- uvx voice-mode

一行命令搞定。用 claude mcp list 验证，claude mcp remove 卸载。

使用场景

实战用法： VoiceMode

Drive a Claude Code session hands-free while reading on another screen

👤 Devs who read docs or designs on one monitor while coding ⏱ ~30 min intermediate

何时使用： You're reading a design doc and want to dictate changes without alt-tabbing.

前置条件

Microphone + speakers — System audio configured — test with say "hello" or equivalent
Whisper model ready — voice-mode install-whisper downloads the local model

步骤

Start voice

Use voicemode. Listen for prompts and speak responses. Repeat after me: "ready"✓ 已复制

→ TTS plays "ready"
Dictate a change

[spoken] Update src/auth.ts — use bcrypt instead of plain SHA256 for passwords.✓ 已复制

→ Transcription correct; change applied; TTS confirms
Review

[spoken] Read me the diff.✓ 已复制

→ TTS reads diff in chunks, pausable

结果： A working session where your hands never leave what they were doing.

注意事项

TTS talking over your prompts — Enable push-to-talk mode or a wake word

搭配使用： filesystem

Code by voice for accessibility or RSI recovery

👤 Devs with RSI, low vision, or preferring speech input ⏱ ~60 min intermediate

何时使用： You can't type for a while and need to keep shipping.

前置条件

Tolerable ambient noise — Quiet room; headset mic beats laptop mic

步骤

Baseline

[spoken] Use voicemode. Read the latest git diff out loud, pausing between files.✓ 已复制

→ Clear TTS read
Workflow

[spoken] Refactor the user model in src/models/user.ts. Move password hashing into a method. Show me the plan first.✓ 已复制

→ Plan spoken; confirmation required before changes

结果： A full coding session without keyboard input.

注意事项

Code symbols mispronounced by TTS — Configure the TTS phoneme dictionary for common programming terms

组合

与其他 MCP 搭配，撬动十倍杠杆

voicemode-mcp + filesystem

Voice-dictated code changes land in the repo

I'll dictate changes; apply them in files after reading each back.✓ 已复制

voicemode-mcp + github

Dictate a PR description after voice-reviewing the diff

Read me the staged changes, then open a PR with a description I'll dictate.✓ 已复制

工具

此 MCP 暴露的能力

工具	输入参数	何时调用	成本
start_listening	mode: "ptt"\|"vad"	Begin a voice session	free or OpenAI Whisper API
speak	text: str, voice?: str	Any time Claude wants to surface something audibly	TTS provider-dependent
transcribe_last	none	Fetch what the user just said	Whisper call
stop_listening	none	End voice session	free

成本与限制

运行它的成本

API 配额: Local: free. OpenAI Whisper: $0.006/min. ElevenLabs TTS: ~$0.30/1k chars.
每次调用 Token 数: Audio pipelines are not token-costed directly
费用: Free with local stack; metered with cloud providers
提示: Local Whisper + Coqui TTS is totally free but lower quality — start cloud, downgrade later

安全

权限、密钥、影响范围

最小权限： microphone speakers

凭据存储： TTS/STT API keys in env

数据出站： Voice audio to TTS/STT provider if not local

Never use cloud STT in calls with confidential audio unless you trust the provider's retention policy

故障排查

常见错误与修复

Mic not detected

System audio permission — grant terminal/Claude Code mic access

验证： `voice-mode test-mic` prints levels

TTS sounds robotic

Default is Coqui local — switch to OpenAI tts-1-hd via VOICE_MODE_TTS=openai

Lag between my speech and response

Use local Whisper-tiny for STT; cloud adds 500ms+

替代方案

VoiceMode 对比其他方案

替代方案	何时用它替代	权衡
macOS Dictation + say command	You just want basic OS-level voice	No integration with Claude's output — one-way only
Superwhisper / Wispr Flow	You want a polished native macOS dictation app	Not MCP-integrated; no agent-level workflows

VoiceMode

为什么要用

核心特性

实时演示

实际使用效果

安装

选择你的客户端

使用场景

实战用法： VoiceMode

Drive a Claude Code session hands-free while reading on another screen

前置条件

步骤

注意事项

Code by voice for accessibility or RSI recovery

前置条件

步骤

注意事项

组合

与其他 MCP 搭配，撬动十倍杠杆

工具

此 MCP 暴露的能力

成本与限制

运行它的成本

安全

权限、密钥、影响范围

故障排查

常见错误与修复

替代方案

VoiceMode 对比其他方案

更多

资源