霜冻MCP

一个模型上下文协议 (MCP) 服务器，使用 Rime API 提供文本转语音功能。该服务器会下载音频并使用系统原生的音频播放器播放。

特征

公开一个speak工具，将文本转换为语音并通过系统音频播放
使用 Rime 的高质量语音合成 API

要求

Node.js 16.x 或更高版本
正常工作的音频输出设备
macOS：使用afplay

以下是 Claude 提供的示例代码，未经测试🤙✨

Windows：内置 Media.SoundPlayer（PowerShell）
Linux：mpg123、mplayer、aplay 或 ffplay

MCP 配置

"ref": {
  "command": "npx",
  "args": ["rime-mcp"],
  "env": {
      RIME_API_KEY=your_api_key_here

      # Optional configuration
      RIME_GUIDANCE="<guide how the agent speaks>"
      RIME_WHO_TO_ADDRESS="<your name>"
      RIME_WHEN_TO_SPEAK="<tell the agent when to speak>"
      RIME_VOICE="cove" 
  }
}

所有可选的环境变量都是工具定义的一部分，并提示

所有语音选项都列在这里。

您可以从Rime 仪表板获取您的 API 密钥。

以下环境变量可用于自定义行为：

RIME_GUIDANCE ：何时以及如何使用说话工具的主要描述
RIME_WHO_TO_ADDRESS ：演讲对象（默认值：“用户”）
RIME_WHEN_TO_SPEAK ：何时应使用该工具（默认值：“当被要求说话或完成命令时”）
RIME_VOICE ：默认使用的语音（默认值：“cove”）

示例用例

示例 1：编码代理公告

"RIME_WHEN_TO_SPEAK": "Always conclude your answers by speaking.",
"RIME_GUIDANCE": "Give a brief overview of the answer. If any files were edited, list them."

示例 2：了解现在的孩子如何说话

RIME_GUIDANCE="Use phrases and slang common among Gen Alpha."
RIME_WHO_TO_ADDRESS="Matt"
RIME_WHEN_TO_SPEAK="when asked to speak"

示例 3：基于上下文的不同语言

RIME_VOICE="use 'cove' when talking about Typescript and 'antoine' when talking about Python"

发展

安装依赖项：

npm install

构建服务器：

npm run build

使用热重载在开发模式下运行：

npm run dev

执照

麻省理工学院

Install Server

HTTP connection URL

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

speak

模型上下文协议服务器，使 AI 模型能够使用 Rime 的语音合成 API 通过设备的原生音频系统生成和播放高质量的文本转语音音频。

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Rime MCP

霜冻MCP

特征

要求

MCP 配置

示例用例

示例 1：编码代理公告

示例 2：了解现在的孩子如何说话

示例 3：基于上下文的不同语言

发展

执照

Tools

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Kokoro TTS MCP Server

AivisSpeech MCP Server

Voicevox MCP Server

Gladia MCPofficial

New MCP Servers

MCP directory API