# roku-mcp

> roku-mcp — danecodes-roku-mcp. Use this tool when you need to interact with Roku devices programmatically, such as inspecting SceneGraph UI, sending remote input, or taking screenshots. It solves problems related to automated testing, debugging, and monitoring of Roku applications, providing a CLI interface for input and output. Ideal for use cases requiring device state queries or automation of Roku device interactions.

Canonical page: https://skillsregistry.net/skills/danecodes-roku-mcp  
JSON: https://api.skillsregistry.net/v1/skills/danecodes-roku-mcp

## Description

MCP server and CLI for AI agents to interact with Roku devices — inspect SceneGraph UI, send remote input, take screenshots, query device state

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/danecodes/roku-mcp)

## 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": "danecodes-roku-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danecodes-roku-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danecodes-roku-mcp/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