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seoul-essentials vs memory

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

seoul-essentials
by do-droid
memory
by modelcontextprotocol
Stars★ 0★ 85,748
30d uses
Score3677
Official
Categories
AI / LLM ToolsOther
Knowledge GraphAI / LLM ToolsProductivity
LanguagePythonTypeScript
Last commit2 mo agothis month

seoul-essentials · Summary

An MCP server providing Seoul's public facility data for tourist assistance AI agents.

memory · Summary

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

seoul-essentials · Use cases

  • Tourist assistance chatbots providing directions to English-speaking pharmacies
  • Navigation applications finding nearby public restrooms or WiFi hotspots
  • Emergency services locating the closest AED in Seoul

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

seoul-essentials · Install

Installation

**Option A: Smithery (Recommended)** Visit [Seoul Essentials on Smithery](https://smithery.ai/servers/do-droid/seoul-essentials) and follow the setup instructions.

**Option B: Direct Connection** Add to your MCP client config (e.g., Claude Desktop claude_desktop_config.json):

{
  "mcpServers": {
    "seoul-essentials": {
      "url": "https://seoul-essentials-mcp-230987091625.asia-northeast3.run.app/mcp"
    }
  }
}

**Option C: Run Locally**

git clone https://github.com/do-droid/seoul-essentials.git
cd seoul-essentials
API_BASE_URL="https://asia-northeast3-seoul-essentials.cloudfunctions.net/api" \nuv run python -m src.server

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