# opencode-browser-control

> Use this tool when you need to automate browser interactions without relying on CSS selectors, enabling low-code browser control for large language models (LLMs). It solves problems of fragile selector-based automation by utilizing ARIA snapshots and element refs, allowing for more robust and reliable browser interactions. This tool accepts ARIA snapshots and element refs as inputs and outputs controlled browser actions, ideal for use cases requiring programmatic browser control, such as web scraping or automated testing.

Canonical page: https://skillsregistry.net/skills/filexego-opencode-browser-control  
JSON: https://api.skillsregistry.net/v1/skills/filexego-opencode-browser-control

## Description

A Playwright-powered MCP server for browser automation using ARIA snapshots and element refs, enabling LLMs to control Chrome/Edge without CSS selectors.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qx5jcmz94v)
- **Repository:** <https://github.com/FileXego/opencode-browser-control>

## 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": "filexego-opencode-browser-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/filexego-opencode-browser-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/filexego-opencode-browser-control/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
