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Trakt MCP Server for AutoGen 18 tools — connect in under 2 minutes

Built by Vinkius GDPR 18 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Trakt as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="trakt_agent",
            tools=tools,
            system_message=(
                "You help users with Trakt. "
                "18 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Trakt
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* 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 Trakt MCP Server

Connect to Trakt and explore the world's most popular TV and movie tracking platform through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Trakt tools. Connect 18 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

  • Search — Find movies, TV shows, episodes and people by title or name
  • Movie Details — Get ratings, cast, crew, genres and related movies
  • Show Details — Get seasons, episodes, cast, ratings and related shows
  • Trending — See what's currently trending on Trakt in real-time
  • Popular — Discover the most popular movies and shows
  • Calendar — Get upcoming episode premieres and air dates

The Trakt MCP Server exposes 18 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Trakt to AutoGen via MCP

Follow these steps to integrate the Trakt MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 18 tools from Trakt automatically

Why Use AutoGen with the Trakt MCP Server

AutoGen provides unique advantages when paired with Trakt through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Trakt tools to solve complex tasks

02

Role-based architecture lets you assign Trakt tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Trakt tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Trakt tool responses in an isolated environment

Trakt + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Trakt MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Trakt while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Trakt, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Trakt data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Trakt responses in a sandboxed execution environment

Trakt MCP Tools for AutoGen (18)

These 18 tools become available when you connect Trakt to AutoGen via MCP:

01

get_calendar

Scope can be "my" (user's watched shows) or "all" (all shows). Returns episodes with air dates, times and show info. Get upcoming episode calendar

02

get_collection

Requires OAuth access token. Returns collected items with metadata and media info. Get the authenticated user's collection

03

get_history

Requires OAuth access token. Optionally filter by type and ID. Get the authenticated user's watch history

04

get_movie

Returns title, year, overview, runtime, rating, genres, languages, certification, trailer and poster URLs. Get detailed info for a specific movie

05

get_movie_people

Each person includes their name, Trakt ID, character name (for cast) and job title (for crew). Get cast and crew for a specific movie

06

get_movie_ratings

Returns total ratings, average score and the count of votes for each rating level. Get ratings distribution for a specific movie

07

get_popular

Popularity is based on overall engagement and activity. Returns paginated results. Get the most popular movies or shows

08

get_related_movies

Each related movie includes title, year, overview, rating and poster URL. Get movies related to a specific movie

09

get_related_shows

Each related show includes title, year, overview, rating and poster URL. Get shows related to a specific TV show

10

get_show

Returns title, year, overview, status, runtime, rating, genres, network, certification, trailer and poster URLs. Get detailed info for a specific TV show

11

get_show_episodes

Each episode includes episode number, title, overview, runtime, ratings and first aired date. Get all episodes for a specific season of a TV show

12

get_show_people

Get cast and crew for a TV show

13

get_show_ratings

Returns total ratings, average score and vote counts per rating level. Get ratings distribution for a TV show

14

get_show_seasons

Each season includes season number, episode count, air date, rating and overview. Get all seasons for a TV show

15

get_trending

Trending is based on what users are actively watching and checking in. Returns items with viewer counts. Get currently trending movies or shows

16

get_watched

Requires OAuth access token. Returns items with play counts and last watched timestamps. Get the authenticated user's watched history

17

get_watchlist

Requires an OAuth access token. Returns movies and/or shows the user has added to their watchlist. Get the authenticated user's watchlist

18

search

Returns results with titles, years, ratings, genres, IDs and synopsis. Use type parameter to narrow results: "movie", "show", "episode", "person" or "list". Search for movies, shows, episodes, people or lists on Trakt

Example Prompts for Trakt in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Trakt immediately.

01

"What movies are trending right now?"

02

"Show me info about Breaking Bad."

03

"Who directed The Matrix and who starred in it?"

Troubleshooting Trakt MCP Server with AutoGen

Common issues when connecting Trakt to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Trakt + AutoGen FAQ

Common questions about integrating Trakt MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Trakt tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Trakt to AutoGen

Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.