How to Use the Trakt MCP in Google ADK

Q: How does Google ADK query cast information using Trakt?

The agent uses getmoviepeople or getshowpeople. These tools return comprehensive data points, including the person's name and their specific role on the project.

Q: Can I use Trakt with the Google ADK to check a user’s watchlist?

Yes. You call getwatchlist, which requires an OAuth token. It pulls all movies and shows the authenticated user has saved, allowing your agent to manage personalized lists.

Q: What data does Trakt expose regarding show seasons for Google ADK?

You use getshowseasons. This returns each season number, the episode count, air date, rating, and a brief overview. It's great for structuring content pipelines.

Q: Does Trakt support finding popular or trending content with Google ADK?

Absolutely. You can check what’s hot by using getpopular or gettrending. Both tools give you paginated results showing viewer counts, telling your agent exactly where the user's attention should be.

Q: If I need to know about a user's activity, what data type does Trakt touch?

The getwatched tool touches the play count and last watched timestamps. This requires an OAuth access token to ensure you are pulling data for the correct user.

Use the Trakt MCP Server with your Google ADK to build enterprise content intelligence powered by Gemini.

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Create your Vinkius account to connect Trakt to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Trakt with Google ADK

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Pull cast and crew details via MCP Server.

The `get_movie_people` tool gets cast and crew for a specific film. Each person returned includes their name, Trakt ID, job title, and character name if they're acting in it. It’s detailed enough to build robust profile systems. For TV shows, you run `get_show_people`. This delivers the same critical data points (ID, name, job) for everyone involved with a series.

Compare content ratings using Google ADK.

Need to see how popular something is? The MCP Server provides `get_movie_ratings` and `get_show_ratings`. These tools return total counts, average scores, and the vote count for every rating level. This mechanism lets your agent build complex comparison logic. You can show users not just '7/10,' but exactly how many people voted 8 or 9.

Discover related content via Trakt MCP Server.

The `get_related_movies` and `get_related_shows` tools help users discover adjacent viewing material. They return the title, year, overview, rating, and poster URL for suggestions. It's perfect for recommendation engines that need to stay within the content domain. You just pass one movie ID, and it gives you a list of related ones.

Setup guide

Set up Trakt MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Trakt tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Trakt_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Trakt tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Trakt MCP in Google ADK

The agent uses `get_movie_people` or `get_show_people`. These tools return comprehensive data points, including the person's name and their specific role on the project.

Yes. You call `get_watchlist`, which requires an OAuth token. It pulls all movies and shows the authenticated user has saved, allowing your agent to manage personalized lists.

You use `get_show_seasons`. This returns each season number, the episode count, air date, rating, and a brief overview. It's great for structuring content pipelines.

Absolutely. You can check what’s hot by using `get_popular` or `get_trending`. Both tools give you paginated results showing viewer counts, telling your agent exactly where the user's attention should be.

The `get_watched` tool touches the play count and last watched timestamps. This requires an OAuth access token to ensure you are pulling data for the correct user.

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