Server data from the Official MCP Registry
Jellyfin plugin: search, play and manage your media library from AI assistants, per-user tokens.
About
Jellyfin plugin: search, play and manage your media library from AI assistants, per-user tokens.
Remote endpoints: streamable-http: https://{jellyfin_host}/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved). 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-aelui-jellyfin-plugin-mcp": {
"url": "https://{jellyfin_host}/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Jellyfin MCP Server plugin

A Jellyfin plugin that exposes your server to AI assistants through the Model Context Protocol (MCP). Assistants such as Claude can search and browse your library, see what you are watching, control playback on your devices, manage playlists and favorites, and (for administrators) run server tasks. Every call runs as the Jellyfin user who owns the access token, limited to that user's permissions and to the scopes granted to the token. The plugin has no runtime dependencies besides Jellyfin itself.
Compatibility
- Jellyfin 12.x only (compiled against 12.4.0,
targetAbi12.4.0.0). Older servers are not supported. - Built with .NET 10.
- MCP transport: Streamable HTTP, stateless,
POST /mcp. Protocol revisions 2026-07-28 (stateless, withserver/discover) and 2025-11-25, 2025-06-18 and 2025-03-26 (withinitialize). Tools returnstructuredContentdescribed by anoutputSchema. - Clients that send a static
Authorization: Bearerheader work; Claude Code is the supported client. Claude Desktop throughmcp-remoteis expected to work but is not yet verified. claude.ai web connectors need OAuth, which this plugin does not offer.
Install in three steps
- In Jellyfin go to Dashboard > Plugins > Repositories > + and add
https://raw.githubusercontent.com/AeLui/jellyfin-plugin-mcp/main/manifest.json. - Open the Catalog, install MCP Server and restart Jellyfin.
- Open Dashboard > Plugins > MCP Server, create a token (pick the user and the scopes) and copy it. It is shown only once.
More detail, including a manual install, is in docs/installation.md.
Connect a client
Replace https://jellyfin.example.com with your server address and jmcp_... with your token.
Claude Code, with the plugin from this repository's marketplace (connects the server and adds the agent skill; it asks for the URL and the token, and keeps the token in your system's credential store):
/plugin marketplace add AeLui/jellyfin-plugin-mcp
/plugin install jellyfin-mcp@jellyfin-plugin-mcp
On Claude Code 2.1.275 or later, one step is enough: /plugin install jellyfin-mcp --marketplace AeLui/jellyfin-plugin-mcp. To change the URL or token later, run /plugin configure jellyfin-mcp@jellyfin-plugin-mcp.
Claude Code, server only:
claude mcp add --transport http jellyfin https://jellyfin.example.com/mcp \
--header "Authorization: Bearer jmcp_..."
Claude Desktop (claude_desktop_config.json; requires Node.js because it runs npx mcp-remote):
{
"mcpServers": {
"jellyfin": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://jellyfin.example.com/mcp",
"--header", "Authorization: Bearer jmcp_..."]
}
}
}
The token dialog in the plugin page generates both snippets for you. The Claude Desktop flow is expected to work but has not been verified against a live server yet.
Scopes and tools
29 tools and 4 prompts in four scopes. A token only sees the tools and prompts its scopes allow.
| Scope | Tools | Purpose |
|---|---|---|
library | 13 | Read-only: search, browse, details, people, recent, next up, continue watching, history, similar items, movie recommendations, collections, audio and subtitle tracks |
playback | 4 | List sessions, play (with audio and subtitle track choice), control playback and switch tracks, show a message |
manage | 4 | The user's own watch state and favorites, plus playlists the user owns or may edit |
admin | 8 | Users, scheduled tasks, library scan, metadata refresh, server status, all users' sessions, activity log (administrators only) |
Full reference: docs/tools.md.
Prompts, shown by clients as slash commands (for example /mcp__jellyfin__movie_night in Claude Code): movie_night, catch_me_up and whats_new (library) and library_health (admin). See docs/prompts.md.
Agent skill
skills/jellyfin-mcp/SKILL.md is an optional Agent Skill that teaches an assistant when and how to use these tools: getting ids before acting, picking a playback session, paging, and asking before destructive actions.
The Claude Code plugin above includes it. Other agents: copy the skills/jellyfin-mcp folder into their skills directory (for Claude Code without the plugin, ~/.claude/skills/ or .claude/skills/ in a project). If you install the plugin, remove any server you added with claude mcp add, or the tools show up twice.
Privacy
The plugin runs inside your Jellyfin server and makes no outbound connections. The Claude Code plugin connects only to the Jellyfin URL you configure. What your assistant does with the tool results is governed by the assistant's own privacy policy.
Documentation
- Installation and client setup
- Tool reference
- Prompt reference
- Security model - read this before exposing the endpoint beyond your LAN
- Architecture
- Development
- Roadmap
Support the project
The plugin is free and open source. If it is useful to you, you can support its development through GitHub Sponsors.
License
GPL-3.0, see LICENSE.
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