Web Browser MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

浏览器自动化

传输方式

stdio

作者

MCP-Mirror

关于 Web Browser MCP Server

Mirror of

#web-browser#mcp-server #ai-integration

Web Browser MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "blazickjp_web-browser-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "web-browser-mcp-server"
      ]
    }
  }
}

Web Browser MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🌐 Web Browser MCP Server?

This MCP server gives AI applications the ability to browse the web, read pages, and extract structured content using CSS selectors. It is built for developers who want their AI tools to understand live web pages.

How to use 🌐 Web Browser MCP Server?

Install with pip install web-browser-mcp-server or uv pip install web-browser-mcp-server. Then integrate with Claude Desktop by adding the provided JSON configuration to your MCP settings. To browse a page, call the browse_webpage tool with a URL and optional CSS selectors.

Key features of 🌐 Web Browser MCP Server

Smart content extraction with CSS selectors
Async processing for fast page loading
Rich metadata including titles, links, and structure
Built-in error handling and timeout management
Cross‑platform (runs anywhere Python does)

Use cases of 🌐 Web Browser MCP Server

Fetching a full webpage for analysis
Extracting specific elements like headlines or navigation links
Gathering structured data from news or documentation sites
Letting an AI assistant read and reference live web content

常见问题

What does this MCP server do?

It enables AI agents to browse web pages, extract content, and retrieve structured data using CSS selectors, making web information accessible to the AI.

How do I install it?

Use `pip install web-browser-mcp-server` or the recommended `uv pip install web-browser-mcp-server`.

What environment variables can I configure?

You can set `REQUEST_TIMEOUT` (default 30s), `USER_AGENT` (default modern Chrome UA), `LOG_LEVEL` (default "info"), and `MAX_RETRIES` (default 3).

What are the prerequisites?

Python 3.8 or higher. No other runtime or platform restrictions.

How do I use it with Claude Desktop?

Add the provided JSON configuration block to your Claude Desktop config file, pointing the `args` to the installed package directory. Then the tool becomes available in your Claude conversations.

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