广告合作
MCP.so
登录

Trakt MCP Server

@wwiens

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

wwiens

提交者

Warren Wiens

关于 Trakt MCP Server

暂无概览

#trakt#entertainment-data#mcp-server

Trakt MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "trakt": {
      "command": "python.exe",
      "args": [
        "server.py"
      ],
      "host": "127.0.0.1",
      "port": 5000,
      "timeout": 30000
    }
  }
}

Trakt MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Trakt?

Trakt is an MCP (Model Context Protocol) server that bridges AI language models with the Trakt.tv API, allowing LLMs to access real-time entertainment data and personal Trakt viewing history. It is built with a domain-focused architecture using FastMCP, providing clean separation across authentication, shows, seasons, episodes, movies, people, user data, comments, search, and check-in functionality.

How to use Trakt?

Trakt can be run via Docker, uvx (without cloning), or local installation (requires Python 3.12+). You need Trakt API credentials (client ID and secret). Configure it in Claude Desktop or MCP hub by adding the server to your MCP configuration file with the appropriate command and environment variables.

Key features of Trakt

  • Access trending, popular, anticipated, and top-grossing content
  • View personal watched shows, movies, and progress
  • Get personalized movie and show recommendations
  • Manage ratings, watchlist, playback progress, and history
  • Browse comments, reviews, and cast/crew for any content
  • Secure OAuth authentication with device code flow

Use cases of Trakt

  • Ask an AI assistant for currently trending movies or shows
  • Get personalized recommendations based on your Trakt history
  • Manage your watchlist or check in to shows via natural language
  • Look up cast, crew, ratings, and reviews for any movie or show
  • Track your viewing progress and see what to watch next

常见问题

1

Do I need a Trakt account to use this server?

Public Trakt data (trending, popular, box office, etc.) does not require authentication. Personal features like watch history, ratings, recommendations, and check-ins require a Trakt account and OAuth authentication via device code flow.

2

How do I authenticate with Trakt?

Authentication uses the Trakt device code flow. Your OAuth token is persisted to `~/.trakt-mcp/auth_token.json` (or a custom path via `TRAKT_AUTH_TOKEN_PATH`), so authorization survives across uvx invocations.

3

What are the runtime and dependency requirements?

Running locally requires Python 3.12 or newer. Alternatively, you can use Docker or run with uvx (requires `uv` installed). The server is configured in Claude Desktop as a command-line MCP tool.

4

How is pagination handled for list endpoints?

You can pass a `page` parameter for single-page results with pagination metadata, or omit it to auto-paginate up to a given `limit`. Use `limit=0` to fetch all available results (capped at 100 for safety).

评论

其他 分类下的更多 MCP 服务器

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

ICSS

chokcoco

不止于 CSS

20.7K

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

N

Next Generation Movers: free moving quotes (remote MCP)

Next Generation Movers

Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

广告合作