# stremioctl

> stremioctl — leewsimpson-stremioctl. Use this tool when you need to remotely control the Stremio desktop app, finding and playing titles from various interfaces such as terminals, AI agents, or mobile devices. It solves problems of accessibility and convenience, allowing users to manage their Stremio experience from anywhere. The tool takes input commands and outputs playback control, stream selection, and title discovery in the Stremio player.

Canonical page: https://skillsregistry.net/skills/leewsimpson-stremioctl  
JSON: https://api.skillsregistry.net/v1/skills/leewsimpson-stremioctl

## Description

Control the Stremio desktop app from the terminal, an AI agent, or your phone — find titles, pick streams, and play them in Stremio's player.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/leewsimpson/stremioctl)

## 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": "leewsimpson-stremioctl"
    }
  }
}
```

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