Jellyfin FAQs

Question 1

What is Jellyfin MCP Server?

Accepted Answer

Jellyfin MCP Server is a tool built on the Model Context Protocol (MCP) that enables AI assistants to manage your Jellyfin media server, automating a wide range of administrative and content-related tasks.

Question 2

Which AI platforms or clients are compatible with Jellyfin MCP Server?

Accepted Answer

While designed with Claude Code in mind, Jellyfin MCP Server is compatible with any AI assistant or client that supports the open Model Context Protocol (MCP), communicating over stdio.

Question 3

What key tasks can AI assistants perform with this tool?

Accepted Answer

AI assistants can manage your media library (list, scan), perform advanced searches and browsing, create and modify playlists, run scheduled tasks on demand, and monitor your Jellyfin server's real-time status.

Question 4

What are the primary requirements to use Jellyfin MCP Server?

Accepted Answer

You'll need Python 3.10+, uv (or pip), a running Jellyfin server, and an API key generated from your Jellyfin dashboard. Configuration involves setting your server URL and API key in an .env file.

Jellyfin

Key Features

Use Cases

Jellyfin

Key Features

Use Cases