Web Browser MCP Server

@blazickjp

Basic information

About Web Browser MCP Server

A Minimum Control Program (MCP) server implementation for web browsing capabilities using BeautifulSoup4

Web Browser MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "web-browser-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "web-browser-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

Web Browser MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Web Browser Mcp Server?

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.

How to use Web Browser Mcp Server?

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.

Features of Web Browser Mcp Server

Smart content extraction using CSS selectors
Lightning-fast async processing
Rich metadata: titles, links, and structured content
Robust error handling and timeout management
Cross-platform support wherever Python runs

Use cases of Web Browser Mcp Server

Browsing and extracting full content from any web page
Targeting specific page sections with CSS selectors (headlines, articles, navigation)
Providing AI assistants with structured web content for analysis
Fetching web data for automated research or summarization workflows

Frequently asked questions

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.

What dependencies or runtime are required?

Python 3.11 or later and the `uv` package manager are required for installation and execution.

How is the server configured?

Set the `REQUEST_TIMEOUT` environment variable (default 30 seconds) to control how long the server waits for a webpage response.

What transport or authentication does the server use?

The server communicates via the MCP protocol using stdio transport, configured in the MCP client’s JSON configuration. No authentication mechanism is mentioned.

What license is Web Browser Mcp Server released under?

It is released under the MIT License.

Comments

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