# Browser Use

> Use this tool when you need to automate web tasks, such as data collection, web testing, or integrating web-based workflows into AI systems. It provides a robust interface for AI assistants to interact with web browsers, perform web scraping, form filling, and general web automation. The tool accepts input commands and outputs automated web interactions, making it ideal for use cases where AI models require web access without needing to know browser automation complexities.

Canonical page: https://skillsregistry.net/skills/saik0s-browser-use  
JSON: https://api.skillsregistry.net/v1/skills/saik0s-browser-use

## Description

This MCP server for browser-use, developed by an unnamed author, provides a robust interface for AI assistants to interact with web browsers and perform automated web tasks. Built with Python and leveraging libraries like browser-use, FastAPI, and LangChain, it offers tools for web scraping, form filling, and general web automation. The implementation focuses on abstracting away browser complexities, making it accessible for AI models to navigate websites, extract data, and interact with web applications. It's particularly useful for tasks like data collection, web testing, or integrating web-based workflows into AI systems, allowing assistants to interact with the web without requiring deep knowledge of browser automation techniques.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/saik0s-browser-use)
- **Repository:** <https://github.com/saik0s/mcp-browser-use>

## 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": "saik0s-browser-use"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/saik0s-browser-use` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/saik0s-browser-use/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