Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

Ttsstt Server

БесплатноНе проверен

Enables speech-to-text and text-to-speech conversion using OpenAI-compatible APIs. Supports customizable models, voices, and output directories.

GitHubEmbed

Описание

Enables speech-to-text and text-to-speech conversion using OpenAI-compatible APIs. Supports customizable models, voices, and output directories.

README

A Model Context Protocol (MCP) server that provides Speech-to-Text (STT) and Text-to-Speech (TTS) tools using OpenAI-compatible APIs.

Features

  • STT (Speech-to-Text): Convert audio files to text using OpenAI-compatible STT APIs
  • TTS (Text-to-Speech): Convert text to audio files using OpenAI-compatible TTS APIs

Quick Start

Using npx (Recommended)

npx github:ptbsare/ttsstt-mcp-server

Local Development

# Clone the repository
git clone https://github.com/ptbsare/ttsstt-mcp-server.git
cd ttsstt-mcp-server

# Install dependencies
npm install

# Build
npm run build

# Run
npm start

Environment Variables

STT Configuration

Variable Description Default
STT_URL OpenAI-compatible STT API endpoint URL (required)
STT_API_KEY API key for STT service (required)
STT_MODEL STT model name whisper-1
STT_RESPONSE_FORMAT Response format (json, text, srt, verbose_json, vtt) json

TTS Configuration

Variable Description Default
TTS_URL OpenAI-compatible TTS API endpoint URL (required)
TTS_API_KEY API key for TTS service (required)
TTS_MODEL TTS model name (tts-1, tts-1-hd, gpt-4o-mini-tts) tts-1
TTS_VOICE Voice to use (alloy, echo, fable, onyx, nova, shimmer) alloy
TTS_SPEED Speech speed (0.25 to 4.0) 1.0
TTS_PITCH Pitch adjustment 1.0
TTS_OUTPUT_DIR Directory to save generated audio files ./tts_output

Alternative Environment Variables

You can also use the following prefixed versions:

  • OPENAI_STT_URL, OPENAI_STT_API_KEY, OPENAI_STT_MODEL, OPENAI_STT_RESPONSE_FORMAT
  • OPENAI_TTS_URL, OPENAI_TTS_API_KEY, OPENAI_TTS_MODEL, OPENAI_TTS_VOICE, OPENAI_TTS_SPEED, OPENAI_TTS_PITCH, OPENAI_TTS_OUTPUT_DIR

Usage

Configure MCP Client

Add to your MCP client configuration (e.g., Claude Desktop, Cursor, VS Code):

{
  "mcpServers": {
    "ttsstt": {
      "command": "npx",
      "args": ["github:ptbsare/ttsstt-mcp-server"],
      "env": {
        "STT_URL": "http://192.168.195.210:10500/v1/audio/transcriptions",
        "STT_API_KEY": "your-stt-api-key",
        "STT_MODEL": "whisper-1",
        "TTS_URL": "http://192.168.195.210:10500/v1/audio/speech",
        "TTS_API_KEY": "your-tts-api-key",
        "TTS_MODEL": "tts-1",
        "TTS_VOICE": "alloy",
        "TTS_OUTPUT_DIR": "./audio_output"
      }
    }
  }
}

STT Tool

Convert audio to text:

{
  "tool": "stt",
  "arguments": {
    "audio_path": "/path/to/audio.mp3",
    "language": "zh"
  }
}

Parameters:

  • audio_path (required): Path to the audio file to transcribe
  • language (optional): Language code for transcription (e.g., 'en', 'zh', 'ja')

TTS Tool

Convert text to audio:

{
  "tool": "tts",
  "arguments": {
    "text": "Hello, world! This is a test.",
    "voice": "nova",
    "speed": 1.0
  }
}

Parameters:

  • text (required): Text content to convert to speech
  • voice (optional): Voice to use (alloy, echo, fable, onyx, nova, shimmer)
  • speed (optional): Speech speed (0.25 to 4.0)
  • pitch (optional): Pitch adjustment

Returns: Path to the generated audio file

API Compatibility

This server is compatible with OpenAI's Audio API format:

  • STT: Uses /v1/audio/transcriptions endpoint with multipart/form-data
  • TTS: Uses /v1/audio/speech endpoint with JSON body

Testing

Test server with the provided test endpoint:

STT_URL=http://192.168.195.210:10500/v1/audio/transcriptions \
STT_API_KEY=test \
TTS_URL=http://192.168.195.210:10500/v1/audio/speech \
TTS_API_KEY=test \
TTS_OUTPUT_DIR=/tmp/tts_output \
npm run build && npm start

Project Structure

ttsstt-mcp-server/
├── src/
│   └── index.ts          # Main server code
├── dist/                 # Compiled JavaScript
├── package.json
├── tsconfig.json
├── LICENSE
└── README.md

Dependencies

  • @modelcontextprotocol/sdk - MCP SDK
  • axios - HTTP client
  • zod - Schema validation
  • form-data - Multipart form data for STT

License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

from github.com/ptbsare/ttsstt-mcp-server

Установка Ttsstt Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/ptbsare/ttsstt-mcp-server

FAQ

Ttsstt Server MCP бесплатный?

Да, Ttsstt Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Ttsstt Server?

Нет, Ttsstt Server работает без API-ключей и переменных окружения.

Ttsstt Server — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Ttsstt Server в Claude Desktop, Claude Code или Cursor?

Открой Ttsstt Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare Ttsstt Server with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории ai