What dependencies does Mcp_cosyvoice require?
It requires Python, the `uv` package manager, and access to the Ali CosyVoice1 API via an API key.
@943003797
Basic information
Mcp server
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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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.
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.
uv for dependency and environment setup.It requires Python, the `uv` package manager, and access to the Ali CosyVoice1 API via an API key.
Set the environment variable `ALI_KEY` to your Ali CosyVoice1 API key when starting the server (e.g., in the `env` dictionary of `StdioServerParams`).
It uses stdio transport. The server is launched as a subprocess via the `uv` command, as shown in the Autogen example.
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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