mcpField
T
Trakt

Trakt

Remote
pipeworx.ioGames & Entertainment0Updated 6w ago

About Trakt

Trakt is an MCP server for searching TV and movie metadata, episodes, and seasons, as well as trending and popular titles. It is suited to applications that use Trakt catalog data and discovery signals.

Key features

  1. 01Search movies and shows
  2. 02Retrieve movie and show details
  3. 03List seasons and episodes
  4. 04Browse trending titles
  5. 05Browse popular titles

Use cases

  1. 01Look up a film or TV show
  2. 02Find episode and season information
  3. 03Discover trending or popular titles

MCP support

Exposes Trakt search, metadata, season, episode, trending, and popular-title tools to MCP clients. Read-only endpoints require a Trakt client ID; a user OAuth flow is not required.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/trakt/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

@pipeworx/trakt

Trakt.tv MCP — TV/movie metadata + trending/popular signals.

Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.

Tools

  • search(query, type?, fields?, years?, genres?, countries?, languages?, page?, limit?)
  • get_movie(id, extended?)
  • get_show(id, extended?)
  • list_seasons(show_id, extended?)
  • get_episode(show_id, season, episode, extended?)
  • trending(type, limit?, page?)
  • popular(type, limit?, page?)

Auth

Read-only endpoints work with just the client_id (no user OAuth required).

Data source

https://api.trakt.tv — header trakt-api-key + trakt-api-version: 2.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "trakt": {
      "url": "https://gateway.pipeworx.io/trakt/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/trakt/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1476+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Trakt data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

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