MCP server w/ Browser Use

MCP server for browser-use.

Overview

Features

1. Browser Control

• Automated browser interactions via natural language

• Navigation, form filling, clicking, and scrolling capabilities

• Tab management and screenshot functionality

• Cookie and state management

1. Agent System

• Custom agent implementation in custom_agent.py

• Vision-based element detection

• Structured JSON responses for actions

• Message history management and summarization

1. Configuration

• Environment-based configuration for API keys and settings

• Chrome browser settings (debugging port, persistence)

• Model provider selection and parameters

Dependencies

Components

Resources

• Integration with browser-use library for advanced browser control

• Custom browser automation capabilities

• Agent-based interaction system with vision capabilities

• Persistent state management

• Customizable model settings

Requirements

• Operating Systems (Linux, macOS, Windows; we haven't tested for Docker or Microsoft WSL)

• Python 3.11 or higher

• uv (fast Python package installer)

• Chrome/Chromium browser

• Claude Desktop

Quick Start

Claude Desktop

Installing via Smithery

Environment Variables

Development

Setup

1. Clone the repository:

1. Create and activate virtual environment:

1. Install dependencies:

1. Start the server

Debugging

Browser Actions

• Navigation: Go to URLs, back/forward, refresh

• Interaction: Click, type, scroll, hover

• Forms: Fill forms, submit, select options

• State: Get page content, take screenshots

• Tabs: Create, close, switch between tabs

• Vision: Find elements by visual appearance

• Cookies & Storage: Manage browser state

Security

Contributing

1. Fork this repository.

2. Create your feature branch: git checkout -b my-new-feature.

3. Commit your changes: git commit -m 'Add some feature'.

4. Push to the branch: git push origin my-new-feature.

5. Submit a pull request.

MCP server w/ Browser Use

MCP server for browser-use.

Overview

Features

1. Browser Control

• Automated browser interactions via natural language

• Navigation, form filling, clicking, and scrolling capabilities

• Tab management and screenshot functionality

• Cookie and state management

1. Agent System

• Custom agent implementation in custom_agent.py

• Vision-based element detection

• Structured JSON responses for actions

• Message history management and summarization

1. Configuration

• Environment-based configuration for API keys and settings

• Chrome browser settings (debugging port, persistence)

• Model provider selection and parameters

Dependencies

Components

Resources

• Integration with browser-use library for advanced browser control

• Custom browser automation capabilities

• Agent-based interaction system with vision capabilities

• Persistent state management

• Customizable model settings

Requirements

• Operating Systems (Linux, macOS, Windows; we haven't tested for Docker or Microsoft WSL)

• Python 3.11 or higher

• uv (fast Python package installer)

• Chrome/Chromium browser

• Claude Desktop

Quick Start

Claude Desktop

Installing via Smithery

Environment Variables

Development

Setup

1. Clone the repository:

1. Create and activate virtual environment:

1. Install dependencies:

1. Start the server

Debugging

Browser Actions

• Navigation: Go to URLs, back/forward, refresh

• Interaction: Click, type, scroll, hover

• Forms: Fill forms, submit, select options

• State: Get page content, take screenshots

• Tabs: Create, close, switch between tabs

• Vision: Find elements by visual appearance

• Cookies & Storage: Manage browser state

Security

Contributing

1. Fork this repository.

2. Create your feature branch: git checkout -b my-new-feature.

3. Commit your changes: git commit -m 'Add some feature'.

4. Push to the branch: git push origin my-new-feature.

5. Submit a pull request.