sample-agentic-ai-web vs fetch

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

	sample-agentic-ai-web by aws-samples	fetch by modelcontextprotocol
Stars	★ 50	★ 85,748
30d uses	—	—
Score	45	76
Official	—	✓
Categories	Browser AutomationWeb ScrapingAI / LLM Tools	Web ScrapingAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	3 mo ago	this month

sample-agentic-ai-web · Summary

Amazon Bedrock web automation assistant with MCP server for browser automation and vision capabilities.

fetch · Summary

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

sample-agentic-ai-web · Use cases

Web scraping and data extraction
Automated e-commerce product searches
UI testing and website automation

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

sample-agentic-ai-web · Install

# Clone the repository
git clone https://github.com/aws-samples/sample-agentic-ai-web.git

cd sample-agentic-ai-web

# Install dependencies
pip install -r requirements.txt

# Run the MCP server
python 10-mcp-server.py

For Claude Desktop configuration, add to claude_desktop_config.json:

{
  "mcpServers": {
    "bedrock-web-tools": {
      "command": "python",
      "args": ["path/to/10-mcp-server.py"]
    }
  }
}

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.