Radarr
Manages movie collections and automates common tasks within Radarr through an AI-compatible interface.
About
Radarr provides a Model Context Protocol (MCP) server designed to bridge the gap between AI assistants and your Radarr instance. It enables AI-driven interactions to efficiently manage your movie collection, allowing for tasks such as listing tracked movies, checking release calendars, searching for and adding new movies, and retrieving movie file details. This server acts as a programmable interface, making your Radarr instance controllable by compatible AI systems.
Key Features
- List all movies currently tracked by Radarr
- Retrieve upcoming and recently released movies (calendar view)
- Search for new movies by name via Movie Lookup
- Add new movies to Radarr with custom settings
- Trigger Radarr to actively search for a specific movie
- 1 GitHub stars
Use Cases
- Automating movie management tasks through AI assistants
- Integrating Radarr functionality into custom AI-powered workflows
- Programmatic interaction with a Radarr instance for collection oversight and modification
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