Mcp_cosyvoice

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.

FAQ from Mcp_cosyvoice

What dependencies does Mcp_cosyvoice require?

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

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).

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.

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).