Radarr is the movie collection manager that monitors for new releases, grabs downloads from Usenet and BitTorrent, and manages quality profiles to upgrade your library automatically. It handles everything from searching indexers to renaming and organizing files on disk.
But when you're working in Claude or Cursor, your AI assistant can't see your movie queue. It can't tell you which movies are missing, what's currently downloading, or whether your quality profiles need adjustment. You keep switching to the Radarr web UI to check status.
With DataFaucet, you browse your Radarr web UI once and it captures the API calls as MCP tools. Now your AI coding assistant can check your movie library, download queue, and system health directly. If you've already set up the Sonarr MCP Server for TV shows, adding Radarr gives your AI complete media management visibility.
Once DataFaucet creates an MCP server from your Radarr session, AI agents can:
Open your Radarr instance (usually at http://localhost:7878) and navigate through the pages you want your AI to access:
As you browse, DataFaucet records every API call Radarr makes. It sees the endpoints for movie lookups, queue checks, calendar fetches, and system info. Each captured call becomes an MCP tool your AI can invoke.
DataFaucet generates the MCP server config. Add it to your AI client and your assistant gains full read access to Radarr's data.
\\\`
User: Which movies am I still waiting on?
AI (via DataFaucet MCP): You have 12 movies in your wanted list:
\\\`
\\\`
User: How's my download queue looking?
AI (via DataFaucet MCP): 3 active downloads in Radarr:
\\\`
\\\`
User: Am I running low on disk space for movies?
AI (via DataFaucet MCP): Root folder status:
Your 4K folder is getting tight. Consider clearing some completed downloads or expanding storage.
\\\`
Radarr has an excellent API with full documentation. But building a proper MCP server means writing tool wrappers for each endpoint, handling API key authentication, managing pagination, and maintaining compatibility across Radarr versions.
DataFaucet skips all of that. It watches your browser interact with Radarr, captures the real API calls, and replicates them on demand. No wrapper code to write, no auth logic to maintain, no version compatibility to worry about.
The Radarr MCP server created by DataFaucet works with:
Your AI gets real-time movie collection data regardless of which tool you use.
Create your Radarr MCP server with DataFaucet in under two minutes. Browse your movie library once, and your AI assistant gains full visibility into your collection, queue, and upcoming releases.
Create your Radarr MCP server in 60 seconds.
Try with Radarr →{
"mcpServers": {
"radarr": {
"url": "https://datafaucet.dev/api/mcp/YOUR_SERVER_ID/sse"
}
}
}Replace YOUR_SERVER_ID with the ID from your DataFaucet dashboard after creating your Radarr server.
Point DataFaucet at Radarr and get a working server in 60 seconds.
Create Radarr server free →After creating, add to Claude Desktop:
"radarr": {
"url": "https://datafaucet.dev/api/mcp/YOUR_ID/sse"
}Free plan includes 3 servers. Upgrade to Pro for unlimited →
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