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
- 01Search movies and shows
- 02Retrieve movie and show details
- 03List seasons and episodes
- 04Browse trending titles
- 05Browse popular titles
Use cases
- 01Look up a film or TV show
- 02Find episode and season information
- 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.
https://gateway.pipeworx.io/trakt/mcpclaude mcp add --transport http pipeworx-io-trakt https://gateway.pipeworx.io/trakt/mcp{"mcpServers":{"pipeworx-io-trakt":{"type":"http","url":"https://gateway.pipeworx.io/trakt/mcp"}}}Open in Cursor{"servers":{"pipeworx-io-trakt":{"type":"http","url":"https://gateway.pipeworx.io/trakt/mcp"}}}Open in VS Code{"mcpServers":{"pipeworx-io-trakt":{"type":"http","url":"https://gateway.pipeworx.io/trakt/mcp"}}}{"mcpServers":{"pipeworx-io-trakt":{"serverUrl":"https://gateway.pipeworx.io/trakt/mcp"}}}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
- Platform key: gateway env
PLATFORM_TRAKT_KEY(client_id from a registered Trakt app). - BYO:
?_apiKey=<client_id>after registering at https://trakt.tv/oauth/applications.
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
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.