What does the browse_webpage tool do?
It fetches a web page and extracts its content, optionally filtering to specific elements defined by CSS selectors you provide.
@blazickjp
基本信息
A Minimum Control Program (MCP) server implementation for web browsing capabilities using BeautifulSoup4
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"web-browser-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"web-browser-mcp-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Web Browser Mcp Server enables AI assistants to browse websites, extract content, and understand web pages through the Model Context Protocol (MCP). It provides smart content extraction using CSS selectors and robust error handling, built with Python 3.11+ and async processing.
Install via Smithery using npx -y @smithery/cli install web-browser-mcp-server --client claude or manually with uv tool install web-browser-mcp-server. Add the server configuration to your MCP client config file, set the REQUEST_TIMEOUT environment variable (default 30 seconds), and use the browse_webpage tool with a URL and optional CSS selectors.
It fetches a web page and extracts its content, optionally filtering to specific elements defined by CSS selectors you provide.
Python 3.11 or later and the `uv` package manager are required for installation and execution.
Set the `REQUEST_TIMEOUT` environment variable (default 30 seconds) to control how long the server waits for a webpage response.
The server communicates via the MCP protocol using stdio transport, configured in the MCP client’s JSON configuration. No authentication mechanism is mentioned.
It is released under the MIT License.

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