GPTDARR is an AI tool server that uses the Model Context Protocol (MCP) to connect with Sonarr and Radarr. It helps automate and manage your TV show and movie library efficiently.
To get started, ensure you have Sonarr and Radarr set up. Then, run the interactive setup wizard with the command npx gptdarr setup. Follow the on-screen prompts to configure your media library. Once completed, use the provided command in an MCP-compatible chat client to begin interacting with the server.
Key features include searching for TV shows and movies across Sonarr and Radarr, adding new TV series to Sonarr and movies to Radarr, and a comprehensive logging system for monitoring and debugging activities.
Common use cases are automating the addition of new TV shows and movies to your library, seamlessly searching for content across platforms, and managing your media library using AI-driven commands.
Prerequisites for using GPTDARR are Node.js 18 or higher and an active instance of both Sonarr and Radarr. The tool includes a logging feature to monitor API requests and responses. Contributions to the project are welcome, and details can be found in the Contributing Guide.