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MCP Cosyvoice

@943003797

リポジトリ

基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

943003797

MCP Cosyvoice について

Mcp server

MCP Cosyvoice 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。

リポジトリ

MCP Cosyvoice 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 Mcp_cosyvoice?

Mcp_cosyvoice is a Python-based MCP server that calls the Ali CosyVoice1 API to convert text input into audio and saves the resulting file to a user-specified directory. It is intended for developers who need to integrate text-to-speech functionality into MCP-compatible AI workflows.

How to use Mcp_cosyvoice?

Create and activate a Python virtual environment with uv venv .venv, then install dependencies with uv sync. The server is invoked via stdio, for example in Autogen by passing StdioServerParams with command="uv", args=["--directory", "../../Mcp/Mcp_cosyvoice", "run", "main.py"], and the environment variable ALI_KEY set to your API key.

Key features of Mcp_cosyvoice

  • Converts text to audio using the Ali CosyVoice1 API.
  • Saves generated audio files to a specified directory.
  • Runs as an MCP server for easy integration with AI frameworks.
  • Managed via uv for dependency and environment setup.

Use cases of Mcp_cosyvoice

  • Generating voiceovers or narrations from text within MCP‑enabled agents.
  • Adding text-to-speech capabilities to automated content pipelines.
  • Producing audio files for accessibility or multi‑modal outputs.

よくある質問

1

What dependencies does Mcp_cosyvoice require?

It requires Python, the `uv` package manager, and access to the Ali CosyVoice1 API via an API key.

2

How do I provide the API key for Mcp_cosyvoice?

Set the environment variable `ALI_KEY` to your Ali CosyVoice1 API key when starting the server (e.g., in the `env` dictionary of `StdioServerParams`).

3

What transport protocol does Mcp_cosyvoice use?

It uses stdio transport. The server is launched as a subprocess via the `uv` command, as shown in the Autogen example.

4

Where are the generated audio files saved?

The server saves the audio files to a directory specified by the user (exact path configuration is not detailed in the README, but the description states it converts text to audio and saves to a specified directory).

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