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
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Scout Monitoring MCP
ผู้สนับสนุนPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
ผู้สนับสนุนAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
VibeShift
An intelligent security agent that analyzes AI-generated code for vulnerabilities and assists with remediation.
SSE MCP Server Example
An example MCP Server demonstrating Server-Sent Events (SSE) usage.
DINO-X
Advanced computer vision and object detection MCP server powered by Dino-X, enabling AI agents to analyze images, detect objects, identify keypoints, and perform visual understanding tasks.
codegraph-rust
A blazingly fast codebase graphRAG implementation in 100% Rust
vLEI.wiki MCP
Turns the Agent into a vLEI/KERI protocol expert
npm Package README
Fetch READMEs, metadata, and search for packages on the npm registry.
WordPress MCP Server
Interact with WordPress sites via the REST API. Manage content, posts, and site configurations for multiple sites using natural language.
Credential Manager
A server for securely managing API credentials locally through the Model Context Protocol (MCP).
Figma
Access and interact with Figma files and prototypes directly from AI agents.
Figma
Interact with the Figma API to access and manage design files and resources.