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safari-mcp vs filesystem

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

safari-mcp
by achiya-automation
filesystem
by modelcontextprotocol
Stars★ 63★ 85,748
30d uses
Score4977
Official
Categories
Browser AutomationWeb ScrapingDeveloper Tools
File SystemDeveloper ToolsProductivity
LanguageJavaScriptTypeScript
Last committhis monththis month

safari-mcp · Summary

Native Safari browser automation for AI agents with 80 tools via AppleScript, zero overhead, and lower CPU usage than Chrome DevTools.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

safari-mcp · Use cases

  • AI agents automating web tasks while maintaining logged-in sessions
  • Web scraping with lower resource usage and better anti-bot detection resistance
  • Automated testing of web applications with actual browser state

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

safari-mcp · Install

Installation

Quick install: npx safari-mcp

Global install: npm install -g safari-mcp

Configure Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "safari": {
      "command": "npx",
      "args": ["safari-mcp"]
    }
  }
}

Restart Claude Desktop after saving.

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

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