Multi-engine TTS for AI coding assistants. Free, 5 engines, no API key needed.
Multi-engine TTS for AI coding assistants. Free, 5 engines, no API key needed. That is what the voice bridge mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
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.
The server publishes 5 tools. What each one is for:
speak — text (required), engine (optional)set_engine — name (required)get_status — (none)list_voices — engine (optional)Test — The setup wizard walks you through: detecting installed engines, testing audio output, optionally entering an ElevenLabs API key (if the SDK isConfiguration is passed through the environment: ELEVENLABS_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
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
ai-voice-bridge on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Voice Bridge's toolset — speak, set_engine, get_status and 2 more — is a fair guide to whether it matches your workflow. It is maintained by dwarmerdam; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| speak | text (required), engine (optional) |
| set_engine | name (required) |
| get_status | _(none)_ |
| list_voices | engine (optional) |
| Test | 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 optio |
{
"mcpServers": {
"voice-bridge": {
"command": "python3",
"args": ["-m", "voice_bridge.mcp.server"]
}
}
}Configuration as documented by the project. Restart the client after saving.
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
| Variable | Description | Required |
|---|---|---|
| ELEVENLABS_API_KEY | Credential the server authenticates with. | Yes |
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