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Mobus vs memory

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

Mobus
by mobus-ai
memory
by modelcontextprotocol
Stars★ 24★ 85,748
30d uses
Score4377
Official
Categories
AI / LLM ToolsDatabaseSearch
Knowledge GraphAI / LLM ToolsProductivity
LanguageTypeScriptTypeScript
Last committhis monththis month

Mobus · Summary

MCP server for searching, previewing, and analyzing datasets across 20+ platforms.

memory · Summary

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

Mobus · Use cases

  • Search for datasets across multiple platforms using specific criteria like licenses or formats
  • Preview and evaluate datasets before downloading them
  • Generate citations in various formats for academic papers
  • Trace citation graphs and research lineages
  • Compare multiple datasets side by side

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

Mobus · Install

Installation

Claude Desktop

Add Mobus to Claude in under a minute:

  1. Open claude.ai (or Claude Desktop/Mobile)
  2. Go to Settings → Connectors
  3. Click Add custom connector
  4. Name it 'Mobus' and paste this URL: https://mcp.mobus.ai/mcp
  5. Start a new chat and try searching for datasets

Local Installation

git clone https://github.com/hrantvirabyan/Mobus.git
cd Mobus
npm install
cp .env.example .env   # fill in any keys you have (all optional)
npm run build

Claude Desktop JSON Configuration

{
  "mcpServers": {
    "mobus": {
      "command": "node",
      "args": ["/absolute/path/to/Mobus/dist/main.js"]
    }
  }
}

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.