A MCP Server for efficiently managing and automating TV shows and movies in Sonarr and Radarr setups. Simplify your media library management with AI-driven insights and commands.
Overview
what is GPTDARR?
GPTDARR is an AI tool server that utilizes Model Context Protocol (MCP) to integrate with Sonarr and Radarr, enabling efficient management and automation of TV shows and movies in your media library.
how to use GPTDARR?
To use GPTDARR, set up Sonarr and Radarr, then run the interactive configuration wizard using the command npx gptdarr setup. Follow the prompts to configure your media library settings, and use the generated command in an MCP-compatible chat client to interact with the server.
key features of GPTDARR?
- Search for TV shows and movies across Sonarr and Radarr
- Add TV series to Sonarr and movies to Radarr
- Comprehensive logging system for monitoring and debugging
use cases of GPTDARR?
- Automating the addition of new TV shows and movies to your media library.
- Searching for content across multiple platforms seamlessly.
- Managing media library efficiently with AI-driven commands.
FAQ from GPTDARR?
- What are the prerequisites for using GPTDARR?
You need Node.js 18 or higher, and a running instance of Sonarr and Radarr.
- Is there a logging feature?
Yes, GPTDARR includes a logging system for monitoring API requests and responses.
- Can I contribute to GPTDARR?
Yes! Contributions are welcome, and you can find more information in the Contributing Guide.