How to Use the Trakt MCP in Claude Code

Q: Can I use Trakt with Claude Code to check relationships?

Yes. You write a simple script that calls getrelatedmovies, iterates through every result, and checks for required fields like the poster URL being present before proceeding.

Q: If I need to check my viewing history in Trakt using Claude Code, how do I do it?

You execute the getwatched tool from your terminal. This streams your watch records and play counts directly into your script's standard output.

Run Trakt in the terminal: Headless MCP Server access for Claude Code CI/CD pipelines.

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Create your Vinkius account to connect Trakt to Claude Code 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 Claude Code

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Automating Data Retrieval with MCP Server

Need to check content status at 3 AM? Run a script that calls `get_show` for an entire catalog of titles. The output is piped directly to standard out, letting your cron job process the raw data without needing any GUI. It’s ideal for nightly builds where you need to audit metadata integrity across hundreds of TV shows.

Bulk User Data Processing with Claude Code

You can write a shell script that uses the `get_watched` tool. This lets your CI/CD pipeline process user activity logs, counting play occurrences and last watched timestamps for large groups of test users. The result is clean JSON output, perfect for feeding into downstream analytics tools.

Generating Trending Content Lists with MCP Server

Use the `get_trending` tool to pull a list of what's hot right now. This output can be captured by your script and compared against historical data stored in your database, flagging any sudden spikes or drops in viewer counts. This provides automated market intelligence without running an interactive shell.

Setup guide

Set up Trakt MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see trakt-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Trakt transactions." It will automatically discover and invoke the available Trakt tools.

Terminal

claude mcp add --transport http trakt-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Trakt MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "trakt-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Trakt MCP in Claude Code

You configure the MCP Server call within your GitHub Action or Docker container. The script executes `get_popular` and pipes the resulting list of movies, which you can then parse using standard Linux tools.

Yes. You write a simple script that calls `get_related_movies`, iterates through every result, and checks for required fields like the poster URL being present before proceeding.

The server provides structured media metadata: episode details, cast/crew names, ratings scores, overall movie synopses, and viewing timestamps. It’s designed for programmatic consumption.

Yes. You can chain calls by having one tool's output feed the input parameters of another. For example, fetching a show ID first, then passing that ID to get all seasons.

You execute the `get_watched` tool from your terminal. This streams your watch records and play counts directly into your script's standard output.

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