# tvbro-mcp

> tvbro-mcp — yorha59-tvbro-mcp. Use this tool when you need to automate interactions with a TV Bro browser on Android TV, solving problems such as automated testing and browser control. It provides protocol-level functionality for navigating, evaluating, and clicking on web pages, accepting inputs via adb and Firefox RDP, and outputting results. Ideal for use cases requiring remote browser automation, such as testing and quality assurance.

Canonical page: https://skillsregistry.net/skills/yorha59-tvbro-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yorha59-tvbro-mcp

## Description

MCP server controlling TV Bro (GeckoView) browser on Android TV via Firefox RDP over adb — protocol-level navigate/evaluate/read_page/click

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-11-03

## Source

- **Source listing:** [GitHub](https://github.com/yorha59/tvbro-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": "yorha59-tvbro-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yorha59-tvbro-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yorha59-tvbro-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