B

Blazickjp Web Browser MCP Server

A server that provides web browsing capabilities for AI applications, supporting intelligent content extraction and structured data capture
2 points
13

What is the Web Browser MCP Server?

This is a web browsing service designed for AI applications, providing intelligent web content extraction functions through the Model Context Protocol (MCP). It allows AI systems to browse web pages and extract structured information like humans.

How to use the Web Browser MCP Server?

Simply install the Python package and configure the MCP server to enable your AI application to have web browsing capabilities. It supports precise extraction of web page content through CSS selectors.

Use Cases

Suitable for scenarios such as AI assistants, data analysis tools, and content aggregation systems that require real - time web information processing.

Main Features

Intelligent Content ExtractionUse CSS selectors to precisely locate and extract specific content on web pages
Asynchronous ProcessingAdopt an asynchronous architecture to ensure high performance and fast response
Metadata CaptureAutomatically extract web page titles, links, and structured content
Error HandlingBuilt - in comprehensive error handling and retry mechanisms

Advantages and Limitations

Advantages
Lightweight and easy to integrate
Support cross - platform operation
Provide a rich set of web content extraction options
High - performance asynchronous processing capabilities
Limitations
Require a basic understanding of CSS selectors
Limited support for dynamically loaded content
Dependent on external network connections

How to Use

Installation
Install the Python package using pip or uv
Configuration
Add MCP server settings to the Claude Desktop configuration file
Usage
Call the browse_webpage function to get web page content

Usage Examples

Extract News HeadlinesExtract the latest headlines and summaries from news websites
Get Product InformationExtract product names and prices from e - commerce websites

Frequently Asked Questions

What Python version is required?
How to handle dynamically loaded content?
How to set the request timeout?

Related Resources

Model Context Protocol Documentation
Official documentation of the MCP protocol
GitHub Repository
Project source code
CSS Selector Tutorial
Learn CSS selector syntax
Installation
Copy the following command to your Client for configuration
{
    "mcpServers": {
        "web-browser-mcp-server": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/web-browser-mcp-server",
                "run",
                "web-browser-mcp-server"
            ],
            "env": {
                "REQUEST_TIMEOUT": "30"
            }
        }
    }
}
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