TTS MCP
Text-to-Speech protocol server that synthesizes text from LLMs and plays audio natively through the host system's desk speakers.
tts-mcp
MCP server that provides Text-to-Speech capabilities. It accepts text output from LLMs, synthesizes it using remote or local audio providers, and plays it directly through the host system's native speakers.
Features
- Direct Playback: Pipes synthesized audio to the host system natively.
- Provider Aggregation: Automatically exposes individual command tools for any configured TTS provider (
fishaudio_tts,elevenlabs_tts, etc.). - Persona Routing: Map specific voices and providers to semantic names to simplify LLM tool calls (
speak_as_persona). - Caching: Saves generated audio artifacts locally to an XDG cache directory.
Supported Providers
- FishAudio
- ElevenLabs
- Neets AI
- PlayHT
- Cartesia
- OpenAI
- Azure
- Local APIs
Installation
Requires Go 1.22+ to build from source via
just init
Download the pre-compiled binaries matching your OS from the Releases page.
Configuration
tts-mcp requires an .env file in your standard OS configuration directory:
- Windows:
%APPDATA%\tts-mcp\.env - Linux:
~/.config/tts-mcp/.env - macOS:
~/Library/Application Support/tts-mcp/.env
Run the included tts-mcp-config CLI to safely initialize this file, or populate it manually:
FISHAUDIO_API_KEY="<YOUR_API_KEY_HERE>"
ELEVENLABS_API_KEY="<YOUR_API_KEY_HERE>"
Setup
You can attach the server as a standard command-line MCP tool in your preferred AI editor.
Antigravity and Cursor
Add the executable to your MCP Servers configuration list:
- Name:
tts-mcp - Type:
command - Command:
/absolute/path/to/extracted/tts-mcp
Claude Code and Claude Desktop
Append to your claude_desktop_config.json:
{
"mcpServers": {
"tts-mcp": {
"command": "/absolute/path/to/extracted/tts-mcp"
}
}
}
Architecture
%%{init: {'theme': 'dark'}}%%
sequenceDiagram
participant Client as IDE (Client)
participant MCP as tts-mcp
participant Config as XDG Config
participant Provider as TTS API Runtime
participant Audio as Native Audio Driver
participant Cache as XDG Cache
Client->>MCP: Call `speak_as_persona` (text, persona)
MCP->>Config: Map persona to provider/voice_id
MCP->>Provider: Request speech synthesis
Provider-->>MCP: MP3/WAV Audio Stream
par Playback
MCP->>Audio: Buffer and pipe to host speakers
MCP->>Cache: Save stream to persistent storage
end
License
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