# BrowserCat Remote Browser Automation

> Use this tool when you need to automate web browsing tasks remotely, such as navigating web pages, filling forms, and executing JavaScript, without requiring a local browser installation. It solves problems like web scraping, automated testing, and workflow automation, and provides inputs like JavaScript execution and form filling, with outputs like screenshots and console logs. Ideal for use cases where remote web interaction is necessary, such as data extraction or automated testing workflows.

Canonical page: https://skillsregistry.net/skills/pipethedev-browsercat-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/pipethedev-browsercat-mcp-server

## Description

Enable LLMs to automate web browsing tasks remotely using BrowserCat's cloud browser service. Interact with web pages by navigating, clicking, filling forms, taking screenshots, and executing JavaScript without local browser installation. Monitor console logs and capture screenshots seamlessly for enhanced web interaction workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/pipethedev/browsercat-mcp-server)

## 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": "pipethedev-browsercat-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipethedev-browsercat-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipethedev-browsercat-mcp-server/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
