Voice Bridge

Name: Voice Bridge
Author: Tomorrow-You

作者：Tomorrow-You版本 0.1.5i★ –i在你的电脑上运行

注册名称io.github.dwarmerdam/voice-bridge

安装

概览

作者提供的说明（英文原文）

Multi-engine TTS for AI coding assistants. 5 engines, free engine included.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 0 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 开发者工具

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 0 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "voice-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "ai-voice-bridge"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add voice-bridge -- npx -y ai-voice-bridge

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "voice-bridge": {
      "command": "npx",
      "args": [
        "-y",
        "ai-voice-bridge"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "voice-bridge": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ai-voice-bridge"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

! 注意
作者与仓库一致
发布者（dwarmerdam）不是仓库所有者（Tomorrow-You）；可能是其他人代为上架的
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

星标数多于此分类中其他 4901 个服务器的 0%
发布到注册中心的时间比此分类中其他 4901 个服务器的 12% 更新
基础检查结果等于或优于此分类中其他 4901 个服务器的 17%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Voice Bridge 安全吗？

它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.1.5）于6个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Python (uv)。

有什么可以替代它？

同一分类中有：GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者：github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新

安装

Desktop Commander

作者：wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新

安装

Cloudflare MCP

作者：cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Voice Bridge

Multi-engine text-to-speech for AI coding assistants. Speaks responses aloud from Claude Code, Cursor, or VS Code via a Claude Code plugin, MCP server, or CLI pipe.

pip install ai-voice-bridge[edge]   # Install with free edge-tts engine

voice-bridge test # Verify audio output voice-bridge on # Enable always-on mode (optional)

Features

Free by default -- edge-tts uses Microsoft Neural voices, no API key needed
5 engines -- edge-tts, ElevenLabs, Kokoro (local ONNX), macOS say, espeak-ng
Text safety filter -- strips code blocks, secrets, file paths, URLs, and markdown before speaking
Claude Code plugin -- Stop hook speaks responses automatically, MCP server for tool-based control
Voice discovery -- browse, filter by gender/locale, and preview voices interactively

Prerequisites

Voice Bridge is a Python package that plays audio on your local machine. It requires:

Requirement	Details
Python 3.10+	`python3 --version` to check
pip	Usually bundled with Python. On some Linux distros: `sudo apt install python3-pip`
Audio output	Speakers or headphones — audio plays locally, not over a network
Audio player (Linux/Windows)	macOS: built-in (`afplay`). Linux: `mpv` (preferred) or `ffplay`. Windows: `ffplay` (preferred) or `mpv`

Audio player fallback order: macOS uses afplay (always available). Linux tries mpv then ffplay. Windows tries ffplay then mpv.

Not supported: headless servers, Docker containers, SSH sessions, and CI runners typically lack audio output. Voice Bridge will install and run the MCP server, but speak commands will fail silently without an audio player and sound hardware.

Quick Start

Install

# Recommended: edge-tts (free, 400+ voices)

pip install ai-voice-bridge[edge]

Or with all engines

pip install ai-voice-bridge[all]

Or minimal (macOS say / Linux espeak only)

pip install ai-voice-bridge

Test

voice-bridge test          # Speak a test phrase

voice-bridge engines # List available engines voice-bridge setup # Interactive setup wizard

The setup wizard walks you through: detecting installed engines, testing audio output, optionally entering an ElevenLabs API key (if the SDK is installed), writing default state, and showing Claude Code integration options.

Use

# Pipe text to speech

echo "Hello world" | vb-speak

Choose an engine

echo "Hello" | vb-speak --engine edge-tts echo "Hello" | vb-speak --engine say

Modes

voice-bridge on # Always-on: every AI response spoken voice-bridge off # Off: use "speak" keyword for single responses voice-bridge status # Show current mode and engine

Claude Code Integration

Option 1: Install as a Plugin (Recommended)

claude plugin marketplace add Tomorrow-You/voice-bridge

claude plugin install voice-bridge@voice-bridge

This installs the plugin with a Stop hook (auto-speaks responses), the /speak skill, and the MCP server. Auto-installs ai-voice-bridge[edge,mcp] on first session.

Option 2: Manual Hook Setup

Add to your .claude/settings.json:

"hooks": { "Stop": [ { "hooks": [ { "type": "command", "command": "bash -c 'VB_HOOK=$(python3 -c \"import voice_bridge; import pathlib; print(pathlib.Path(voice_bridge.file).parent / \\\"integrations\\\" / \\\"claude_hook.sh\\\")\" 2>/dev/null) && [ -f \"$VB_HOOK\" ] && bash \"$VB_HOOK\"'", "timeout": 5 } ] } ] } }

Then add to your CLAUDE.md:

## Voice Bridge (TTS)

NEVER use tags unless the user's message starts with "speak"
When user starts with "speak", wrap your ENTIRE response in ... tags
Strip the "speak" keyword before processing
Inside tags, write naturally -- no markdown, code blocks, or file paths

Option 2: Always-On Mode

Skip the tag convention entirely:

voice-bridge on

Now every Claude response is spoken automatically. Toggle off with voice-bridge off.

Hook Details

The Stop hook runs in the background so it doesn't block Claude Code. It:

Extracts text from tags (single-turn mode) or the full response (always-on mode)
Truncates to 2,000 characters before speaking
Uses a fallback chain: configured engine > espeak > say
Logs to ~/.voice-bridge/voice-bridge.log (auto-rotated at 1MB, keeps 2 backups)
Runs vb-speak --stream for sentence-by-sentence playback

Engines

Engine	Cost	Quality	Setup	Platform	Default voice
edge-tts	Free	High (neural)	`pip install ai-voice-bridge[edge]`	All	`en-US-GuyNeural`
ElevenLabs	Paid	Highest	`pip install ai-voice-bridge[elevenlabs]` + API key	All	George (`JBFqnCBsd6RMkjVDRZzb`), model `eleven_flash_v2_5`
Kokoro	Free	Good	`pip install ai-voice-bridge[kokoro]` + model download	All (English only)	`bm_lewis`
say	Free	Basic	Built-in	macOS	`Samantha`
espeak	Free	Basic	`apt install espeak-ng`	Linux	`en`

When engine is set to auto (default), Voice Bridge picks the first available in this order: edge-tts > say > espeak > kokoro > elevenlabs. ElevenLabs is only considered "available" if the SDK is installed AND a valid API key is configured -- it will never be auto-selected without credentials.

Discovering Voices

voice-bridge voices              # List voices for current engine

voice-bridge voices edge-tts # List voices for a specific engine

Filter by gender and/or locale

voice-bridge voices edge-tts --gender Female --locale en-US

Preview a specific voice

voice-bridge voices edge-tts --preview en-US-AriaNeural

Interactively audition voices (next/select/quit after each)

voice-bridge voices edge-tts --gender Female --locale en-US --preview

Random sample of 3 voices

voice-bridge voices edge-tts --sample 3 --preview

Filtering options: --gender (Male/Female) works with edge-tts and kokoro. --locale (e.g. en-US, en-GB) works with edge-tts and say. --sample N picks N random voices. All combine with --preview for interactive audition.

ElevenLabs preview uses free pre-recorded samples when available (no API credits consumed).

Switching Engines

voice-bridge engine edge-tts     # Free neural voices

voice-bridge engine elevenlabs # Premium cloud voice-bridge engine kokoro # Local offline voice-bridge engine say # macOS built-in voice-bridge engine espeak # Linux built-in voice-bridge engine auto # Best available (default)

ElevenLabs Setup

pip install ai-voice-bridge[elevenlabs]

voice-bridge setup # Prompts for your ElevenLabs API key

Or manually: create ~/.voice-bridge/.env with ELEVENLABS_API_KEY=your-key

voice-bridge engine elevenlabs voice-bridge test

Kokoro Setup (Offline)

pip install ai-voice-bridge[kokoro]

Download model files (~200MB) from:

https://github.com/thewh1teagle/kokoro-onnx/releases/tag/model-files-v1.0

Place in: ~/.voice-bridge/models/ (or $VOICE_BRIDGE_HOME/models/)

voice-bridge engine kokoro voice-bridge test

Configuration

Voice Bridge stores configuration in ~/.voice-bridge/ (macOS), ~/.local/share/voice-bridge/ (Linux, respects XDG_DATA_HOME), or %APPDATA%\voice-bridge\ (Windows).

Override with the VOICE_BRIDGE_HOME environment variable.

File	Purpose
`.env`	API keys (ElevenLabs)
`.state`	Runtime state (mode, engine, speed, voice)
`models/`	Kokoro ONNX model files
`voice-bridge.log`	Hook execution logs (auto-rotated at 1MB, 2 backups)

State Variables

The .state file is a shell-sourceable key-value file. All values are optional — defaults apply if unset.

Variable	Default	Description
`VOICE_BRIDGE_MODE`	`off`	Mode: `off` (single-turn) or `always` (always-on)
`VOICE_BRIDGE_ENGINE`	`auto`	Engine name or `auto`
`VOICE_BRIDGE_EDGE_VOICE`	`en-US-GuyNeural`	edge-tts voice
`VOICE_BRIDGE_EDGE_RATE`	`+0%`	edge-tts rate (e.g. `+30%`, `-10%`)
`VOICE_BRIDGE_ELEVENLABS_SPEED`	`1.0`	ElevenLabs speed (0.7–1.2)
`VOICE_BRIDGE_KOKORO_VOICE`	`bm_lewis`	Kokoro voice name
`VOICE_BRIDGE_KOKORO_SPEED`	`1.4`	Kokoro speed multiplier
`VOICE_BRIDGE_SAY_RATE`	`200`	macOS say words per minute
`VOICE_BRIDGE_ESPEAK_RATE`	`175`	espeak words per minute

Text Safety Filter

Before any text reaches the TTS engine, Voice Bridge strips:

Code blocks (fenced ` and inline `)
Secrets: OpenAI/Anthropic keys (sk-...), GitHub tokens (ghp_, gho_), AWS keys (AKIA...), PEM private keys, 64+ char hex strings
File paths: Unix (/Users/..., /home/...) and Windows (C:\Users\...)
URLs: http:// and https://
Markdown: headers, bold/italic markers, list bullets, table rows

Text is truncated to 4,000 characters at the nearest sentence boundary (. ). The Claude hook applies a separate 2,000 character limit before passing text to vb-speak.

CLI Reference

# Control

voice-bridge on # Always-on mode voice-bridge off # Single-turn mode (default) voice-bridge status # Show mode, engine, config voice-bridge test # Test audio output voice-bridge engines # List all engines with install status voice-bridge setup # Interactive setup wizard

Engine config

voice-bridge engine [name] # Get/set engine voice-bridge voice [id] # Set voice for current engine voice-bridge voices [engine] # List available voices voice-bridge speed [val] # Set engine speed (see below)

Voice discovery

voice-bridge voices edge-tts --gender Female --locale en-US # Filter voice-bridge voices edge-tts --preview en-US-AriaNeural # Preview one voice-bridge voices edge-tts --gender Female --preview # Interactive voice-bridge voices edge-tts --sample 3 --preview # Random sample

Pipe to speech

echo "text" | vb-speak # Default engine echo "text" | vb-speak --engine edge-tts # Specific engine echo "text" | vb-speak --voice Aria # Override voice for this call echo "text" | vb-speak --stream # Stream sentence-by-sentence echo "text" | vb-speak --dry-run # Print filtered text only

Streaming mode (--stream): reads stdin, splits text at sentence boundaries (. , ! , ? ), and speaks each sentence as it completes. For edge-tts, sentences are queued so the next one generates while the current one plays.

Speed Control

Each engine accepts a different speed format:

Engine	Format	Default	Example
edge-tts	Percentage string	`+0%`	`voice-bridge speed +30%`
elevenlabs	Float (0.7–1.2)	`1.0`	`voice-bridge speed 1.1`
kokoro	Positive float	`1.4`	`voice-bridge speed 1.8`
say	Words per minute	`200`	`voice-bridge speed 250`
espeak	Words per minute	`175`	`voice-bridge speed 220`

Speed applies to whichever engine is currently active. Check with voice-bridge speed (no value).

MCP Server

Voice Bridge includes an MCP (Model Context Protocol) server so any MCP-compatible tool can speak text aloud.

npm shim (`npx ai-voice-bridge`): The npm package is a thin wrapper t

只显示了开头部分；其余内容请在仓库中阅读

Voice Bridge

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“开发者工具”中的其他服务器比较i

常见问题

替代选择

GitHub

Desktop Commander

Cloudflare MCP

作者的 README

Voice Bridge

Features

Prerequisites

Quick Start

Install

Or with all engines

Or minimal (macOS say / Linux espeak only)

Test

Use

Choose an engine

Modes

Claude Code Integration

Option 1: Install as a Plugin (Recommended)

Option 2: Manual Hook Setup

Option 2: Always-On Mode

Hook Details

Engines

Discovering Voices

Filter by gender and/or locale

Preview a specific voice

Interactively audition voices (next/select/quit after each)

Random sample of 3 voices

Switching Engines

ElevenLabs Setup

Or manually: create ~/.voice-bridge/.env with ELEVENLABS_API_KEY=your-key

Kokoro Setup (Offline)

Download model files (~200MB) from:

https://github.com/thewh1teagle/kokoro-onnx/releases/tag/model-files-v1.0

Place in: ~/.voice-bridge/models/ (or $VOICE_BRIDGE_HOME/models/)

Configuration

State Variables

Text Safety Filter

CLI Reference

Engine config

Voice discovery

Pipe to speech

Speed Control

MCP Server