Tautulli MCP Server: Give AI Agents Access to Your Plex Analytics

Why Give AI Access to Tautulli?

Tautulli is the go-to monitoring and analytics tool for Plex Media Server. It tracks watch history, concurrent streams, library statistics, bandwidth usage, and notifications. If you run a Plex server for family or friends, Tautulli gives you full visibility into who's watching what, when, and how.

But when you're working in Claude or Cursor, your AI assistant can't see any of that data. It can't tell you how many people are streaming right now, whether your transcoding is spiking, which users are most active, or what got added to your library this week. You end up switching to the Tautulli dashboard every time you want to check on your server.

With DataFaucet, you browse your Tautulli web UI once and it captures the API calls as MCP tools. Now your AI coding assistant can pull stream data, review watch history, and check library growth directly. If you've already connected Overseerr as an MCP server for media requests or Jellyfin as an MCP server for playback, adding Tautulli gives your AI the analytics layer that ties them together.

What AI Agents Can Do With Tautulli Access

Once DataFaucet creates an MCP server from your Tautulli session, AI agents can:

• Check active streams to see who's currently watching, what they're playing, and transcoding details
• View watch history across all users or filtered to specific libraries and time ranges
• Monitor bandwidth usage to track server load and identify transcoding bottlenecks
• Review library statistics including total items, recently added media, and storage growth
• Check user activity to see play counts, duration, and last seen timestamps per user
• View recently added media across all libraries with metadata and add dates
• Get notification logs to review alerts sent for buffering, new content, or server issues

Setting Up Tautulli as an MCP Server with DataFaucet

Step 1: Browse Your Tautulli Dashboard

Open DataFaucet and navigate to your Tautulli instance. Click through the pages you want your AI to access: the homepage activity panel, watch history, libraries, users, and graphs. Each page you visit gets captured.

Step 2: DataFaucet Captures the API Calls

As you browse, DataFaucet records every API call Tautulli makes. The activity panel fetches current streams. The history page pulls watch records. The users page loads activity summaries. Each captured call becomes an MCP tool your AI can invoke.

Step 3: Connect to Claude, Cursor, or Windsurf

Export your captured session as an MCP server config. Add it to your AI client. Your assistant now has direct access to your Tautulli data through natural language.

Example Conversations

You: "How many people are streaming right now and what are they watching?"

AI: "There are 3 active streams. User A is watching Breaking Bad S03E05 (direct play), User B is watching Oppenheimer (transcoding to 720p), and User C is listening to a podcast (direct stream)."

You: "Which users watched the most content this month?"

AI: "User A leads with 47 plays totaling 62 hours. User B has 31 plays at 41 hours. User C has 12 plays at 8 hours, mostly music."

You: "Is anything buffering or having playback issues?"

AI: "User B's transcode session is running at 1.2x speed, which is borderline. Their bandwidth is 4.2 Mbps on a 720p transcode. No buffering events logged in the last hour."

Why Not Just Use the Tautulli API Directly?

Tautulli has an excellent API with comprehensive documentation. You could absolutely build a custom MCP wrapper around it. But that means writing the integration code, handling authentication, maintaining it when Tautulli updates, and repeating the process for every tool in your stack.

DataFaucet skips all of that. Browse the UI, capture the calls, export as MCP. No code to write, no wrapper to maintain.

Works With Any AI Client

The MCP server DataFaucet generates works with Claude Desktop, Cursor, Windsurf, and any other client that supports the Model Context Protocol. Your Tautulli data becomes accessible wherever you work.

Get Started

Visit datafaucet.dev to turn your Tautulli dashboard into an MCP server. One browsing session gives your AI full access to your Plex analytics.