MCP Catalogs
Home

MCP-Dandan vs fetch

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

MCP-Dandan
by 82ch
fetch
by modelcontextprotocol
Stars★ 63★ 85,748
30d uses
Score4576
Official
Categories
SecurityAI / LLM ToolsMonitoring
Web ScrapingAI / LLM ToolsProductivity
LanguagePythonTypeScript
Last commit5 mo agothis month

MCP-Dandan · Summary

MCP-Dandan is a security monitoring framework that intercepts and analyzes MCP communications in real-time to detect malicious behavior.

fetch · Summary

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

MCP-Dandan · Use cases

  • Security monitoring for AI applications using MCP protocol
  • Detection of malicious tool calls and data exfiltration attempts
  • Real-time protection against command injection in agentic systems

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

MCP-Dandan · Install

Installation

# Clone the repository
git clone https://github.com/82ch/MCP-Dandan.git
cd MCP-Dandan

# Install all dependencies (Python + Node.js)
npm run install-all

Running the Application

# Start both server and desktop UI
npm run dev

The server will start on http://127.0.0.1:8282 and the Electron desktop app will launch automatically.

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-dandan": {
      "command": "python",
      "args": ["path/to/mcp-dandan/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.