# BrowserCat

> Use this tool when you need to automate web browser interactions without local installation, enabling Large Language Models (LLMs) to perform tasks like data extraction, form submission, or visual analysis of websites. BrowserCat provides cloud-based browser automation capabilities through the Model Context Protocol, allowing for navigation, element interaction, and JavaScript execution. It offers console logs and screenshots as output resources, making it ideal for AI assistants that require web-based automation.

Canonical page: https://skillsregistry.net/skills/browsercat  
JSON: https://api.skillsregistry.net/v1/skills/browsercat

## Description

BrowserCat MCP Server provides cloud-based browser automation capabilities through the Model Context Protocol, enabling LLMs to interact with web pages without local browser installation. Developed by BrowserCat, it offers tools for navigation, screenshot capture, element interaction (clicking, hovering, form filling), and JavaScript execution in a real browser environment. The server connects to BrowserCat's cloud browser service via WebSocket, authenticates with an API key, and exposes both console logs and screenshots as resources. This implementation is particularly valuable for AI assistants that need to perform web-based tasks like data extraction, form submission, or visual analysis of websites.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/browsercat)
- **Repository:** <https://github.com/browsercat/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": "browsercat"
    }
  }
}
```

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