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Text-to-Speech MCP Server

@ParseDark

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

ParseDark

Text-to-Speech MCP Server について

A simple MCP (Model Context Protocol) server that provides text-to-speech conversion capabilities, written in TypeScript.

Text-to-Speech MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Text-to-Speech MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Text-to-Speech MCP Server?

A Model Context Protocol (MCP) server, written in TypeScript, that provides text-to-speech conversion. It allows AI assistants and other MCP clients to convert text into MP3 audio files through a standardized interface.

How to use Text-to-Speech MCP Server?

Install globally via npm install -g mcp-koko-tts, set the TTS_OUTPUT_DIR environment variable (default ~/.mcp_tts), and start the required Kokoro-FastAPI Docker container (GPU or CPU). Then configure the MCP client (e.g., Cherry Studio) with the server’s build path.

Key features of Text-to-Speech MCP Server

  • Convert any text to speech audio
  • Save the resulting audio as MP3 files
  • Simple integration with any MCP-compatible client

Use cases of Text-to-Speech MCP Server

  • Convert AI assistant responses into spoken audio
  • Generate voiceovers from text for applications
  • Provide accessibility for visually impaired users
  • Integrate with MCP clients like Cherry Studio

よくある質問

1

What runtime dependencies does the server require?

It requires a running Kokoro-FastAPI Docker container (GPU or CPU configuration) and the `TTS_OUTPUT_DIR` environment variable set.

2

How do I install the server?

Install it globally via npm: `npm install -g mcp-koko-tts`.

3

Where are the audio output files stored?

Files are saved to the directory specified by the `TTS_OUTPUT_DIR` environment variable, which defaults to `~/.mcp_tts`.

4

Does the server support GPU acceleration?

Yes, when using the GPU Docker image it requires an NVIDIA GPU with CUDA 12.8 support, achieving ~35x–100x realtime speed.

5

What audio format does the server output?

All generated speech audio files are in MP3 format.

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