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memory vs sh-disney-mcp

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

memory
by modelcontextprotocol
sh-disney-mcp
by syyuan14
Stars★ 85,748★ 81
30d uses
Score7743
Official
Categories
Knowledge GraphAI / LLM ToolsProductivity
OtherProductivity
LanguageTypeScriptTypeScript
Last committhis month7 mo ago

memory · Summary

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

sh-disney-mcp · Summary

An MCP server that provides real-time ticket pricing and availability for Shanghai Disneyland.

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

sh-disney-mcp · Use cases

  • Travel planning assistants for Disneyland visitors
  • Chatbots providing real-time ticket information
  • Personalized itinerary recommendations based on ticket availability

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"]
    }
  }
}

sh-disney-mcp · Install

Installation

  1. Install via npm:
npm install -g sh-disney-mcp
  1. Integrate with your MCP host:

For Claude Desktop, add to claude_desktop_config.json:

{
  "mcpServers": {
    "sh-disney-mcp": {
      "command": "npx",
      "args": ["-y", "sh-disney-mcp"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.