# OpenBrowser

> OpenBrowser — dylansantwani-openbrowser. Use this tool when you need to automate real user interactions in a Chrome browser, enabling trusted input events and accessibility-tree snapshots for AI-driven testing and inspection. It solves problems related to browser automation, providing 14 tools for navigation, interaction, scripting, and inspection. The OpenBrowser tool takes in automation scripts and outputs compact accessibility-tree snapshots, making it ideal for use cases requiring realistic user session simulation.

Canonical page: https://skillsregistry.net/skills/dylansantwani-openbrowser  
JSON: https://api.skillsregistry.net/v1/skills/dylansantwani-openbrowser

## Description

A zero-dependency MCP server that drives a real Chrome browser through a companion extension, enabling AI agents to automate real user sessions with trusted input events, compact accessibility-tree snapshots, and 14 tools for navigation, interaction, scripting, and inspection.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f1g6h8hig3)
- **Repository:** <https://github.com/dylansantwani/openbrowser>

## 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": "dylansantwani-openbrowser"
    }
  }
}
```

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