Empowers AI agents to manage qBittorrent instances through a Model Context Protocol server.
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This project provides a Model Context Protocol (MCP) server for qBittorrent, implemented in Rust. It acts as an intelligent intermediary, allowing AI agents to seamlessly interact with and control your qBittorrent client using natural language commands. From searching for new torrents and managing existing downloads to inspecting properties and setting global transfer limits, this server exposes a comprehensive set of tools, making qBittorrent automation smarter and more accessible for AI-driven workflows. It also supports RSS management and offers flexible configuration options and transport modes (Stdio, HTTP).
Key Features
01Search for torrents using qBittorrent's built-in plugins
020 GitHub stars
03Global control over transfer speeds, limits, and application preferences
04Organization of torrents with categories and tags
