# Browser Automation

> Use this tool when you need to automate web browser interactions, such as navigating websites, filling forms, and interacting with web content. It solves problems like automating repetitive browser tasks and enabling AI agents to interact with web-based services. The tool takes in planned actions and browser state as inputs and outputs executed actions and updated browser state, ideal for use cases where conversational interfaces need to seamlessly integrate with web applications.

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

## Description

The MCP Browser Agent enables Claude to interact with web browsers through the Model Context Protocol, built during the AGI House MCP Hackathon by Jaeyun and Ashley Ha. It leverages the browser-use library to provide a seamless integration that allows Claude to automate browser interactions, detect interactive elements, and execute planned actions. The implementation includes two main tools: one for retrieving the current browser state and planning context, and another for executing actions in the browser. This server runs on macOS with Python 3.12 and Google Chrome, making it ideal for users who want to give Claude the ability to navigate websites, fill forms, and interact with web content directly from conversations.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ashley-ha-browser-automation)
- **Repository:** <https://github.com/ashley-ha/mcp-manus>

## 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": "ashley-ha-browser-automation"
    }
  }
}
```

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