Trakt MCP Server for CrewAI 18 tools — connect in under 2 minutes
Connect your CrewAI agents to Trakt through Vinkius, pass the Edge URL in the `mcps` parameter and every Trakt tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Trakt Specialist",
goal="Help users interact with Trakt effectively",
backstory=(
"You are an expert at leveraging Trakt tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Trakt "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 18 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Trakt becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Trakt tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the Trakt MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 18 tools from Trakt
Why Use CrewAI with the Trakt MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Trakt through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Trakt + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Trakt MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Trakt for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Trakt, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Trakt tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Trakt against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Trakt MCP Tools for CrewAI (18)
These 18 tools become available when you connect Trakt to CrewAI via MCP:
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
get_collection
Requires OAuth access token. Returns collected items with metadata and media info. Get the authenticated user's collection
get_history
Requires OAuth access token. Optionally filter by type and ID. Get the authenticated user's watch history
get_movie
Returns title, year, overview, runtime, rating, genres, languages, certification, trailer and poster URLs. Get detailed info for a specific movie
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
get_movie_ratings
Returns total ratings, average score and the count of votes for each rating level. Get ratings distribution for a specific movie
get_popular
Popularity is based on overall engagement and activity. Returns paginated results. Get the most popular movies or shows
get_related_movies
Each related movie includes title, year, overview, rating and poster URL. Get movies related to a specific movie
get_related_shows
Each related show includes title, year, overview, rating and poster URL. Get shows related to a specific TV show
get_show
Returns title, year, overview, status, runtime, rating, genres, network, certification, trailer and poster URLs. Get detailed info for a specific TV show
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
get_show_people
Get cast and crew for a TV show
get_show_ratings
Returns total ratings, average score and vote counts per rating level. Get ratings distribution for a TV show
get_show_seasons
Each season includes season number, episode count, air date, rating and overview. Get all seasons for a TV show
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
get_watched
Requires OAuth access token. Returns items with play counts and last watched timestamps. Get the authenticated user's watched history
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
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 CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Trakt immediately.
"What movies are trending right now?"
"Show me info about Breaking Bad."
"Who directed The Matrix and who starred in it?"
Troubleshooting Trakt MCP Server with CrewAI
Common issues when connecting Trakt to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Trakt + CrewAI FAQ
Common questions about integrating Trakt MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Trakt with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Trakt to CrewAI
Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.