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Jellyfin (Plex Alternative) MCP Server for Google ADKGive Google ADK instant access to 12 tools to Authenticate By Name, Get Current User, Get Item, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Jellyfin (Plex Alternative) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Jellyfin (Plex Alternative) MCP Server for Google ADK is a standout in the Loved By Devs category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="jellyfin_plex_alternative_agent",
    instruction=(
        "You help users interact with Jellyfin (Plex Alternative) "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)
Jellyfin (Plex Alternative)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Jellyfin (Plex Alternative) MCP Server

Connect your Jellyfin media server to any AI agent and take full control of your media library through natural conversation.

Google ADK natively supports Jellyfin (Plex Alternative) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Library Navigation — Use list_virtual_folders to see your root libraries and list_items to browse movies, shows, and music.
  • Detailed Metadata — Retrieve specific item details, including descriptions and IDs, using get_item.
  • Playback Tracking — Monitor and update media playback status with session_playing and session_playing_progress.
  • Server Monitoring — Check server version, OS, and configuration using get_system_info.
  • User Management — List and authenticate users via list_users and authenticate_by_name.

The Jellyfin (Plex Alternative) MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Jellyfin (Plex Alternative) tools available for Google ADK

When Google ADK connects to Jellyfin (Plex Alternative) through Vinkius, your AI agent gets direct access to every tool listed below — spanning media-server, streaming, home-theater, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

authenticate

Authenticate by name on Jellyfin (Plex Alternative)

Authenticate a user by name and password

get

Get current user on Jellyfin (Plex Alternative)

Get information about the currently logged-in user

get

Get item on Jellyfin (Plex Alternative)

Get detailed information about a specific item

get

Get playback info on Jellyfin (Plex Alternative)

Retrieve information required to start playback

get

Get system configuration on Jellyfin (Plex Alternative)

Get the server global configuration

get

Get system info on Jellyfin (Plex Alternative)

Get basic server information (version, operating system, etc.)

list

List items on Jellyfin (Plex Alternative)

Query for items in the library

list

List users on Jellyfin (Plex Alternative)

List all users (Admin only)

list

List virtual folders on Jellyfin (Plex Alternative)

List the root libraries (Movies, TV Shows, etc.)

session

Session playing on Jellyfin (Plex Alternative)

Notify the server that playback has started

session

Session playing progress on Jellyfin (Plex Alternative)

Update the server on current playback position

session

Session playing stopped on Jellyfin (Plex Alternative)

Notify the server that playback has ended

Connect Jellyfin (Plex Alternative) to Google ADK via MCP

Follow these steps to wire Jellyfin (Plex Alternative) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 12 tools from Jellyfin (Plex Alternative) via MCP

Why Use Google ADK with the Jellyfin (Plex Alternative) MCP Server

Google ADK provides unique advantages when paired with Jellyfin (Plex Alternative) through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Jellyfin (Plex Alternative)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Jellyfin (Plex Alternative) tools with BigQuery, Vertex AI, and Cloud Functions

Jellyfin (Plex Alternative) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Jellyfin (Plex Alternative) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Jellyfin (Plex Alternative) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Jellyfin (Plex Alternative) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Jellyfin (Plex Alternative) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Jellyfin (Plex Alternative)

Example Prompts for Jellyfin (Plex Alternative) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Jellyfin (Plex Alternative) immediately.

01

"List all the root libraries on my Jellyfin server."

02

"Show me the movies available in my library."

03

"What is the current status and version of my Jellyfin server?"

Troubleshooting Jellyfin (Plex Alternative) MCP Server with Google ADK

Common issues when connecting Jellyfin (Plex Alternative) to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Jellyfin (Plex Alternative) + Google ADK FAQ

Common questions about integrating Jellyfin (Plex Alternative) MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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