What runtime environment does mcp-musicplayer-netease require?
It requires Python and the `uv` tool, installed via `pip install uv`.
M
MCP Musicplayer Netease
@zxs731
Basic information
About MCP Musicplayer Netease
free to search and play online music from netease
#musicplayer#netease#online-music
MCP Musicplayer Netease config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryMCP Musicplayer Netease tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is mcp-musicplayer-netease?
mcp-musicplayer-netease is a network music player MCP server designed to integrate music playback capabilities into AI voice agents. It is part of the voice_bot_mcp project, enabling voice-controlled music manipulation through the Model Context Protocol.
How to use mcp-musicplayer-netease?
To use mcp-musicplayer-netease, first install the uv tool via pip install uv. Then navigate to the MCP_AI_Voice_Agent/Client directory, modify environment variables in 1.env, and set the MCP path in mcp_server_config.json. Finally, run uv run voice.py to start the client.
Key features of mcp-musicplayer-netease
- Integrates with AI voice agents via MCP.
- Provides network music player server functionality.
- Supports voice command control of music playback.
- Part of a modular MCP server ecosystem.
Use cases of mcp-musicplayer-netease
- Building voice-controlled music assistant agents.
- Adding music playback to AI-powered smart home setups.
- Creating multi-tool AI agents that include audio control.
Frequently asked questions
How are MCP servers configured?
MCP paths and environment variables are set in `mcp_server_config.json` and `1.env` in the Client directory.
Where can I find a full demonstration of this project?
A demonstration video is available on Bilibili: [AI语音助手接入MCP，秒变超级智能体，可操纵上千种工具，打造万能助手](https://www.bilibili.com/video/BV17yXKYQEF2/).
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