browser-use-mcp-server vs fetch

Side-by-side comparison to help you pick between these two MCP servers.

	browser-use-mcp-server by kontext-security	fetch by modelcontextprotocol
Stars	★ 822	★ 85,748
30d uses	—	—
Score	49	76
Official	—	✓
Categories	Browser AutomationWeb ScrapingAI / LLM Tools	Web ScrapingAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	10 mo ago	this month

browser-use-mcp-server · Summary

MCP server enabling AI agents to control web browsers with browser-use.

fetch · Summary

An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.

browser-use-mcp-server · Use cases

Automating web scraping for data collection
AI agents performing website testing and validation
Enabling AI to research and analyze online content

fetch · Use cases

LLMs reading news articles and blogs
Content analysis of web pages
Retrieving information from public websites
Chunked reading of large web documents

browser-use-mcp-server · Install

Installation

Prerequisites

uv - Fast Python package manager
Playwright - Browser automation
mcp-proxy - Required for stdio mode

# Install prerequisites
curl -LsSf https://astral.sh/uv/install.sh | sh
uv tool install mcp-proxy
uv tool update-shell

Environment

Create a .env file with:

OPENAI_API_KEY=your-api-key
CHROME_PATH=optional/path/to/chrome
PATIENT=false

Install dependencies

uv sync
uv pip install playwright
uv run playwright install --with-deps --no-shell chromium

Claude Desktop Configuration

{
  "mcpServers": {
    "browser-server": {
      "command": "browser-use-mcp-server",
      "args": [
        "run",
        "server",
        "--port",
        "8000",
        "--stdio",
        "--proxy-port",
        "9000"
      ],
      "env": {
        "OPENAI_API_KEY": "your-api-key"
      }
    }
  }
}

fetch · Install

Installation

**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:

uvx mcp-server-fetch

**Using PIP** Install via pip:

pip install mcp-server-fetch

Then run as:

python -m mcp_server_fetch

Claude Desktop Configuration

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.