TTS MCP Server
Provides Text-to-Speech (TTS) functionality using Google TTS API, enabling audio generation, voice listing, and style templates via MCP.
README
TTS MCP Server
A Model Context Protocol (MCP) server that provides Text-to-Speech (TTS) functionality using Google TTS API.
Features
- Tools: Generate TTS audio, list voices, get style templates
- Resources: Access voice style templates via URI patterns
- Prompts: Direct access to 16+ voice style prompt templates
Installation
- Clone this repository
- Install dependencies:
npm install - Build the project:
npm run build
Usage
Run the server:
npm start
Or for development:
npm run dev
MCP Configuration
Add the following to your MCP configuration file (e.g., mcp.json):
{
"mcpServers": {
"tts-mcp-server": {
"command": "npx",
"args": [
"-y",
"@activebook/tts-mcp-server"
],
"env": {
"GOOGLE_API_KEY": "{your-google-api-key}", // required, change to your own key
"GOOGLE_NAME_MODEL": "gemini-2.0-flash", // optional
"GOOGLE_TTS_MODEL": "gemini-2.5-flash-preview-tts", // optional
"GOOGLE_VOICE": "kore" // optional
}
}
}
}
Tools
google_tts_generate
Description: Generate TTS audio from text content
Parameters:
- content: string (The text content to convert to speech) [required]
- directory: string (Directory to save the audio file (Default: current directory)) [optional]
- voice: string (Voice to use for TTS (Default: Kore)) [optional]
- style: string (Speech style - either a template name like 'news_tone' or custom style text) [optional]
Returns: Path to the saved audio file
get_google_tts_voices
Description: Get list of available TTS voices
Parameters:
- count: number (Number of voices to return (0 for all)) [optional]
get_voice_styles
Description: Get list of predefined speech style templates
Parameters:
- detail: boolean (Whether to show voice style detail (Default: false)) [optional] Returns: JSON object containing available speech style templates with descriptions and style prompts
Prompts
Access voice style prompt templates directly:
Available Prompts
news_anchor- Formal, clear news-reporting styleprofessional_presenter- Confident business presentation stylebedtime_storyteller- Gentle, soothing storytelling voicemotivational_speaker- Energetic, inspiring deliverypodcast_host- Engaging conversational styledocumentary_narrator- Calm, authoritative narrationmysterious_narrator- Deep, suspenseful voicehumorous_comedian- Light-hearted, comedic tonecalm_meditation_guide- Soothing meditation voicedramatic_performer- Expressive theatrical style- And 6 more styles...
Usage
{
"method": "prompts/get",
"params": {
"name": "news_anchor"
}
}
Returns: Style prompt text ready for TTS generation
Resources
Access voice style metadata via URI patterns:
Voice Style Templates
- URI Pattern:
tts://voice-styles/{style_name} - Example:
tts://voice-styles/news_anchor - Content: JSON with style description and prompt
Usage
{
"method": "resources/read",
"params": {
"uri": "tts://voice-styles/bedtime_storyteller"
}
}
Returns: Voice style metadata in JSON format
Screenshots
| Feature | Screenshot |
|---|---|
| Available Tools | ![]() |
| Generate Audio | ![]() |
| List Voices | ![]() |
| Voice Styles | ![]() |
| Combine Voice&Style | ![]() |
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。




