# mcp-trakt

> mcp-trakt — pipeworx-io-mcp-trakt. Use this tool when you need to track and manage TV and movie watch history, and retrieve metadata for your favorite shows and films. It solves problems related to organizing and keeping up with your media consumption, providing signals for watch tracking and metadata retrieval. The tool accepts inputs such as user watch history and outputs TV and movie metadata, utilizing git for version control and data management.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-trakt  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-trakt

## Description

Trakt MCP — TV/movie metadata + watch tracking signals

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-trakt)

## 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": "pipeworx-io-mcp-trakt"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-trakt` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-trakt/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