# Trakt MCP Server

> Trakt MCP Server — lorenzo0111-traktmcp. Use this tool when you need to integrate AI agents with Trakt.tv for media discovery and user account management. It enables agents to search movies and TV shows, access user watchlists and history, and interact with Trakt.tv features. Ideal for building personalized entertainment recommendation systems and media-centric applications.

Canonical page: https://skillsregistry.net/skills/lorenzo0111-traktmcp  
JSON: https://api.skillsregistry.net/v1/skills/lorenzo0111-traktmcp

## Description

Enables MCP-compatible AI agents to interact with Trakt.tv, including search, movies, TV shows, and user account features like watchlist and history.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ueinmbg29d)
- **Repository:** <https://github.com/Lorenzo0111/TraktMCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lorenzo0111-traktmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lorenzo0111-traktmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lorenzo0111-traktmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt