How to Use the Trakt MCP in CrewAI

Q: Can Trakt provide watch history data using CrewAI?

Yes. A specialized agent can execute the getwatched tool, retrieving play counts and last watched timestamps. Since this requires OAuth, ensure your crew setup manages the access token correctly for reliable operation.

Q: What data does Trakt give about a person using CrewAI?

Use getmoviepeople to get cast and crew details. This tool returns name, Trakt ID, character name (if applicable), and job title. You can build a crew that researches key personnel across multiple titles.

Q: What is the process for checking available seasons with Trakt and CrewAI?

The dedicated agent calls getshowseasons on a specific TV show ID. This returns every season's number, episode count, air date, rating, and overview. The crew then passes this list to the next step for further analysis.

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Create your Vinkius account to connect Trakt to CrewAI 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 CrewAI

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Autonomous Content Discovery via Trakt MCP Server

The `get_popular` tool provides paginated results based on overall engagement and activity, giving you the best current content. Your CrewAI can assign a Research Agent to call this tool first. A follow-up Analysis Agent can then take these popular results—the titles, ratings, and posters—and compile a report without human intervention.

Deep Media Comparison with Trakt

You can compare related content using `get_related_movies` or `get_related_shows`. One agent finds a core movie, while another specialized agent automatically queries for related shows. This simulates complex industry research. The CrewAI framework handles this sequential execution, ensuring the data from one tool feeds perfectly into the next.

Comprehensive Show/Movie Data Gathering

For a full deep dive, set up a crew where an Agent calls `get_show` for basic info. A second agent then uses `get_show_seasons` to list all season numbers and air dates. The final agent compiles the complete record. This role-based specialization is what makes CrewAI ideal; it handles multi-step data gathering much better than a single script.

Setup guide

Set up Trakt MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Trakt tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Trakt Analyst",
    goal="Access and analyze Trakt data via MCP.",
    backstory="Expert analyst with direct Trakt access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Trakt transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Trakt Analyst",
        goal="Access and analyze Trakt data via MCP.",
        backstory="Expert analyst with direct Trakt access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Trakt transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Trakt. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Trakt MCP in CrewAI

You can assign specialized roles. A Research Agent calls the `search` tool to find items, while an Analysis Agent uses `get_movie` or `get_show` to pull full details for those results. The whole process is autonomous.

Yes. A specialized agent can execute the `get_watched` tool, retrieving play counts and last watched timestamps. Since this requires OAuth, ensure your crew setup manages the access token correctly for reliable operation.

Use `get_movie_people` to get cast and crew details. This tool returns name, Trakt ID, character name (if applicable), and job title. You can build a crew that researches key personnel across multiple titles.

The dedicated agent calls `get_show_seasons` on a specific TV show ID. This returns every season's number, episode count, air date, rating, and overview. The crew then passes this list to the next step for further analysis.

The server touches sensitive viewing history and watchlist items. When using tools like `get_watched` or `get_watchlist`, remember that the OAuth access token is key to accessing this user activity data.

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