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memory vs WEBGhosting-MCP

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

memory
by modelcontextprotocol
WEBGhosting-MCP
by yranjan06
Stars★ 85,748★ 29
30d uses
Score7744
Official
Categories
Knowledge GraphAI / LLM ToolsProductivity
Browser AutomationWeb ScrapingAI / LLM Tools
LanguageTypeScriptGo
Last committhis month1 mo ago

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

WEBGhosting-MCP · Summary

Intelligent stealth browser MCP server with anti-fingerprinting for AI agents to browse the web undetected.

memory · Use cases

  • Personalizing AI assistant interactions by remembering user preferences, history, and relationships
  • Building context-aware chat applications that maintain conversation history
  • Creating knowledge bases that persist across AI model sessions

WEBGhosting-MCP · Use cases

  • Web scraping while avoiding detection
  • Voice-controlled AI browsing
  • Data extraction from dynamic websites
  • Automated web testing and interaction

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

WEBGhosting-MCP · Install

  1. Download the binary for your platform from the releases page
  2. Configure your MCP client:
{
  "servers": {
    "webghosting": {
      "type": "stdio",
      "command": "/path/to/webmcp",
      "env": {
        "AI_API_KEY": "your-api-key",
        "AI_BASE_URL": "https://api.openai.com/v1",
        "AI_MODEL": "gpt-4o"
      }
    }
  }
}
  1. Start the MCP server in your compatible IDE or agent (Cursor, Claude Code, etc.)
Comparison generated from public README + GitHub signals. Last updated automatically.