Web Browser MCP Server
The Web Browser MCP Server is a Python-based MCP protocol server that provides web browsing and content extraction functions for AI assistants.
rating : 2.5 points
downloads : 51
What is the Web Browser MCP Server?
The Web Browser MCP Server allows AI models to access the Internet through the MCP protocol, scrape web page content, and extract the required information. It supports CSS selectors for precise content extraction and has powerful error handling capabilities.How to use the Web Browser MCP Server?
You can allow your AI model to access the network with simple configuration. You need to install the server and add the corresponding settings to the client configuration.Applicable Scenarios
Suitable for enterprises or research projects that need to obtain specific data from web pages, such as market analysis, news monitoring, etc.Main Features
Intelligent Content ExtractionUse CSS selectors to precisely scrape the target content from web pages.
Fast ProcessingEnsure efficient operation based on asynchronous processing.
Rich Metadata CaptureAutomatically extract web page titles, links, and other structured content.
Robust Error HandlingBuilt-in timeout management and exception catching mechanisms.
Cross-Platform CompatibilityCan run in any environment that supports Python.
Advantages and Limitations
Advantages
Powerful content scraping capabilities
Simple to use and feature-rich
Wide range of application scenarios
Limitations
May be affected by network restrictions
Limited support for complex web pages
How to Use
Install the Web Browser MCP Server
Quickly install the server using the Smithery tool.
Configure the Client
Add server settings to the MCP client configuration file.
Call the API
Call the API to scrape web page content.
Usage Examples
Scrape News TitlesScrape the latest top news from news websites.
Extract Product InformationScrape product details from e-commerce websites.
Frequently Asked Questions
How to install the Web Browser MCP Server?
Does it support custom CSS selectors?
What should I do if I encounter problems when the server is running?
Related Resources
Official Documentation
Detailed installation and usage guide
GitHub Repository
Source code and Issue tracking
Video Tutorial
Quick start guide
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