# Web Bridge

> Web Bridge — johnxu22786-browser-automation. Use this tool when you need to automate web interactions or test web applications, and require a realistic browser environment to simulate user actions like clicking, filling forms, and taking screenshots. The Web Bridge tool solves problems related to web automation, accessibility testing, and data extraction by providing a server-based solution that uses real browsers to interact with web pages. It accepts script inputs and outputs accessibility-tree snapshots, making it ideal for use cases that require accurate rendering and interaction with web content.

Canonical page: https://skillsregistry.net/skills/johnxu22786-browser-automation  
JSON: https://api.skillsregistry.net/v1/skills/johnxu22786-browser-automation

## Description

Browser automation MCP server that uses a real browser to give agents eyes and hands—open pages, click, fill, screenshot, and run scripts via accessibility-tree snapshots.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c35prg2chl)
- **Repository:** <https://github.com/JohnXu22786/browser-automation>

## 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": "johnxu22786-browser-automation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/johnxu22786-browser-automation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/johnxu22786-browser-automation/pull`

---
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