# WebRun Browser Automation

> WebRun Browser Automation — ai-webrun-webrun. Use this tool when you need to automate repetitive browser tasks, such as data scraping or testing, and require a realistic browser environment with features like persistence and live viewing. It solves problems like automating multi-step workflows, handling complex web interactions, and enabling human intervention when needed. The tool takes in automation scripts and outputs automated browser interactions, with options for human takeover and live viewing of the automation process.

Canonical page: https://skillsregistry.net/skills/ai-webrun-webrun  
JSON: https://api.skillsregistry.net/v1/skills/ai-webrun-webrun

## Description

Run multi-step tasks in a real Chrome browser: persistent environments, live view, human takeover.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.webrun%2Fwebrun)

## Use it

MCP endpoint published by the skill: `https://api.webrun.ai/mcp`

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": "ai-webrun-webrun"
    }
  }
}
```

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