# mcp-browser-use

> Use this tool when you need to automate browser interactions using existing MCP clients, such as Claude or Cursor, to streamline tasks and workflows without requiring additional API keys. It solves problems related to browser automation, data extraction, and workflow optimization by leveraging the client's built-in LLM capabilities. The tool takes in MCP client inputs and outputs automated browser actions, making it ideal for use cases that require efficient and integrated browser automation.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-mcp-browser-use  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-mcp-browser-use

## Description

Enables browser automation through MCP clients like Claude or Cursor, using the client's existing LLM without requiring an additional API key.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x78km4kg73)
- **Repository:** <https://github.com/fastmcp-me/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": "fastmcp-me-mcp-browser-use"
    }
  }
}
```

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