Browser Use Claude MCP
B

Browser Use Claude MCP

An MCP server that provides browser automation capabilities for AI models, enabling models such as Claude and Gemini to perform web browsing, searching, and interaction operations through natural language instructions.
2 points
7.8K

What is Browser-use-claude-mcp?

This is a service system that enables AI assistants to have web browsing capabilities. Through simple natural language instructions, AI can automatically perform operations such as opening web pages, searching for information, and filling out forms, just as conveniently as humans using a browser.

How to use Browser-use-claude-mcp?

Simply install and configure the service, and the AI assistant can control the browser through specific instructions. You can directly tell the AI what content to browse or what web page operations to perform.

Use cases

It is suitable for scenarios such as AI conversations that require real-time network information, automated data collection, and web content analysis. For example, let the AI find the latest news, fill out online forms, or extract key information from web pages.

Main features

Browser automation
Supports complete web browsing operations: opening web pages, clicking elements, filling out forms, submitting data, etc.
Web search
AI can directly conduct network searches and return results
Screenshot function
Can capture web page screenshots to help AI understand page content
Multi-AI support
Compatible with multiple AI models such as Google Gemini, Anthropic Claude, and OpenAI
Content analysis
AI can perform intelligent analysis and summarization of web page content
Advantages
Enable AI to have real-time network access capabilities
Support natural language instructions, easy to use
Compatible with multiple AI models, flexible selection
Cover complete browser operation functions
Limitations
Requires browser environment configuration
Complex web pages may fail to operate
Depends on the understanding ability of the AI model
Requires API key authorization

How to use

Installation preparation
Ensure that Node.js and Chrome browser are installed
Get the project
Clone the project from GitHub to the local
Install dependencies
Enter the project directory and install the required software packages
Configure the environment
Copy the example configuration file and fill in your API key
Start the service
Compile and run the MCP server

Usage examples

Get web page content
Let the AI access the web page and extract key information
Perform a network search
Find the latest information on a specific topic
Fill out a contact form
Automatically complete web form filling

Frequently Asked Questions

What kind of operating environment is required?
How to obtain an API key?
Which AI models are supported?
What should I do if the operation fails?

Related resources

Project GitHub repository
Source code and the latest version
Node.js official website
Download the Node.js operating environment
Google AI Studio
Apply for a Gemini API key

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "browser-use-claude-mcp": {
         "command": "node",
         "args": [
           "/path/to/Browser-use-claude-mcp/dist/index.js"
         ],
         "env": {
           "CHROME_PATH": "",
           "CHROME_USER_DATA": "",
           "MCP_MODEL_PROVIDER": "GEMINI",
           "GOOGLE_API_KEY": "your_google_api_key_here"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

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