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MCP Server

FeelUOwn

by feeluown3.9kPythonUpdated 2026-09-01

trying to be a robust, user-friendly and hackable music player

Claude Desktop

FeelUOwn MCP server enables AI assistants to programmatically control the FeelUOwn music player through the Model Context Protocol. This experimental integration allows agents to interact with the player's playback controls and access music resources from various platforms including YouTube Music and Bilibili. Developers can integrate music player capabilities into AI workflows, enabling natural language music control and playlist generation powered by large language models.

Key Features

MCP server interface for programmatic control of FeelUOwn music player
Integration with multiple music platforms including YouTube Music and Bilibili
AI-powered features including AI radio and natural language to playlist conversion
TCP-based interactive control protocol for agent communication
Multi-quality audio selection and intelligent resource replacement
Text-based playlist format for easy sharing and synchronization
Desktop lyrics display and nowplaying protocol support
Python-based configuration file support (.fuorc) for customization

Use Cases

  • 01Building voice-controlled music assistants that respond to natural language commands
  • 02Creating AI-powered DJ systems that generate playlists from conversational input
  • 03Integrating music playback capabilities into multi-modal AI applications
  • 04Automating music discovery and playlist curation using LLM recommendations
  • 05Developing cross-platform music control interfaces through AI agents
  • 06Synchronizing music playback across devices via agent-mediated communication

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FeelUOwn — FAQ

What is the FeelUOwn MCP server?+

The FeelUOwn MCP server is an experimental feature that exposes the FeelUOwn music player's controls and resource capabilities through the Model Context Protocol, allowing AI assistants to programmatically manage playback and access music from various platforms.

How do I install FeelUOwn MCP server?+

FeelUOwn can be installed via system package managers on Arch Linux (yay -S feeluown), macOS (brew install feeluown), or by downloading pre-packaged binaries for Windows and macOS from the GitHub Release page. The MCP server functionality is included as an experimental feature in the main installation.

Which AI clients work with FeelUOwn MCP server?+

As an MCP server implementation, FeelUOwn should work with MCP-compatible clients such as Claude Desktop and other applications that support the Model Context Protocol standard.

Do I need API keys for FeelUOwn MCP server?+

The README mentions plugins for platforms like YouTube Music and Bilibili, which may require platform-specific credentials or API access depending on the music provider you choose to integrate.

Is FeelUOwn MCP server free to use?+

Yes, FeelUOwn is open-source software available on GitHub. However, the disclaimer notes it should not be used for commercial purposes and is provided as-is without warranty.

What platforms does FeelUOwn support?+

FeelUOwn supports Arch Linux, macOS, Windows, Gentoo, NixOS, Debian, and openSUSE, with installation available through system package managers or pre-packaged binaries.

How do I install FeelUOwn?+

Open the source repository on GitHub and follow its README. FeelUOwn is a mcp server — MCP Agents Market links you directly to the official repo.

Is FeelUOwn free?+

FeelUOwn is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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